---
_id: '48304'
author:
- first_name: Johannes
full_name: Daxenberger, Johannes
last_name: Daxenberger
- first_name: Steffen
full_name: Eger, Steffen
last_name: Eger
- first_name: Ivan
full_name: Habernal, Ivan
id: '101881'
last_name: Habernal
- first_name: Christian
full_name: Stab, Christian
last_name: Stab
- first_name: Iryna
full_name: Gurevych, Iryna
last_name: Gurevych
citation:
ama: 'Daxenberger J, Eger S, Habernal I, Stab C, Gurevych I. What is the Essence
of a Claim? Cross-Domain Claim Identification. In: Proceedings of the 2017
Conference on Empirical Methods in Natural Language Processing. Association
for Computational Linguistics; 2018. doi:10.18653/v1/d17-1218'
apa: Daxenberger, J., Eger, S., Habernal, I., Stab, C., & Gurevych, I. (2018).
What is the Essence of a Claim? Cross-Domain Claim Identification. Proceedings
of the 2017 Conference on Empirical Methods in Natural Language Processing.
https://doi.org/10.18653/v1/d17-1218
bibtex: '@inproceedings{Daxenberger_Eger_Habernal_Stab_Gurevych_2018, title={What
is the Essence of a Claim? Cross-Domain Claim Identification}, DOI={10.18653/v1/d17-1218},
booktitle={Proceedings of the 2017 Conference on Empirical Methods in Natural
Language Processing}, publisher={Association for Computational Linguistics},
author={Daxenberger, Johannes and Eger, Steffen and Habernal, Ivan and Stab, Christian
and Gurevych, Iryna}, year={2018} }'
chicago: Daxenberger, Johannes, Steffen Eger, Ivan Habernal, Christian Stab, and
Iryna Gurevych. “What Is the Essence of a Claim? Cross-Domain Claim Identification.”
In Proceedings of the 2017 Conference on Empirical Methods in Natural
Language Processing. Association for Computational Linguistics, 2018.
https://doi.org/10.18653/v1/d17-1218.
ieee: 'J. Daxenberger, S. Eger, I. Habernal, C. Stab, and I. Gurevych, “What is
the Essence of a Claim? Cross-Domain Claim Identification,” 2018, doi: 10.18653/v1/d17-1218.'
mla: Daxenberger, Johannes, et al. “What Is the Essence of a Claim? Cross-Domain
Claim Identification.” Proceedings of the 2017 Conference on Empirical Methods
in Natural Language Processing, Association for Computational Linguistics,
2018, doi:10.18653/v1/d17-1218.
short: 'J. Daxenberger, S. Eger, I. Habernal, C. Stab, I. Gurevych, in: Proceedings
of the 2017 Conference on Empirical Methods in Natural Language Processing,
Association for Computational Linguistics, 2018.'
date_created: 2023-10-19T08:29:58Z
date_updated: 2023-10-19T12:08:19Z
department:
- _id: '34'
- _id: '820'
doi: 10.18653/v1/d17-1218
language:
- iso: eng
publication: Proceedings of the 2017 Conference on Empirical Methods in Natural Language
Processing
publication_status: published
publisher: Association for Computational Linguistics
status: public
title: What is the Essence of a Claim? Cross-Domain Claim Identification
type: conference
user_id: '15504'
year: '2018'
...
---
_id: '6859'
abstract:
- lang: eng
text: "Signal processing in WASNs is based on a software framework for hosting the
algorithms as well as on a set of wireless connected devices representing the
hardware. Each of the nodes contributes memory, processing power, communication
bandwidth and some sensor information for the tasks to be solved on the network.
\r\nIn this paper we present our MARVELO framework for distributed signal processing.
It is intended for transforming existing centralized implementations into distributed
versions. To this end, the software only needs a block-oriented implementation,
which MARVELO picks-up and distributes on the network. Additionally, our sensor
node hardware and the audio interfaces responsible for multi-channel recordings
are presented."
author:
- first_name: Haitham
full_name: Afifi, Haitham
id: '65718'
last_name: Afifi
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Joerg
full_name: Ullmann, Joerg
id: '16256'
last_name: Ullmann
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Afifi H, Schmalenstroeer J, Ullmann J, Haeb-Umbach R, Karl H. MARVELO - A
Framework for Signal Processing in Wireless Acoustic Sensor Networks. In: Speech
Communication; 13th ITG-Symposium. ; 2018:1-5.'
apa: Afifi, H., Schmalenstroeer, J., Ullmann, J., Haeb-Umbach, R., & Karl, H.
(2018). MARVELO - A Framework for Signal Processing in Wireless Acoustic Sensor
Networks. Speech Communication; 13th ITG-Symposium, 1–5.
bibtex: '@inproceedings{Afifi_Schmalenstroeer_Ullmann_Haeb-Umbach_Karl_2018, title={MARVELO
- A Framework for Signal Processing in Wireless Acoustic Sensor Networks}, booktitle={Speech
Communication; 13th ITG-Symposium}, author={Afifi, Haitham and Schmalenstroeer,
Joerg and Ullmann, Joerg and Haeb-Umbach, Reinhold and Karl, Holger}, year={2018},
pages={1–5} }'
chicago: Afifi, Haitham, Joerg Schmalenstroeer, Joerg Ullmann, Reinhold Haeb-Umbach,
and Holger Karl. “MARVELO - A Framework for Signal Processing in Wireless Acoustic
Sensor Networks.” In Speech Communication; 13th ITG-Symposium, 1–5, 2018.
ieee: H. Afifi, J. Schmalenstroeer, J. Ullmann, R. Haeb-Umbach, and H. Karl, “MARVELO
- A Framework for Signal Processing in Wireless Acoustic Sensor Networks,” in
Speech Communication; 13th ITG-Symposium, 2018, pp. 1–5.
mla: Afifi, Haitham, et al. “MARVELO - A Framework for Signal Processing in Wireless
Acoustic Sensor Networks.” Speech Communication; 13th ITG-Symposium, 2018,
pp. 1–5.
short: 'H. Afifi, J. Schmalenstroeer, J. Ullmann, R. Haeb-Umbach, H. Karl, in: Speech
Communication; 13th ITG-Symposium, 2018, pp. 1–5.'
date_created: 2019-01-17T15:47:35Z
date_updated: 2023-10-26T08:15:32Z
department:
- _id: '75'
- _id: '54'
language:
- iso: eng
page: 1-5
project:
- _id: '27'
name: 'Akustische Sensornetzwerke - Teilprojekt '
- _id: '27'
name: Akustische Sensornetzwerke - Teilprojekt "Verteilte akustische Signalverarbeitung
über funkbasierte Sensornetzwerke
publication: Speech Communication; 13th ITG-Symposium
quality_controlled: '1'
status: public
title: MARVELO - A Framework for Signal Processing in Wireless Acoustic Sensor Networks
type: conference
user_id: '460'
year: '2018'
...
---
_id: '46350'
abstract:
- lang: eng
text: 'The ubiquity of WiFi access points and the sharp increase in WiFi-enabled
devices carried by humans have paved the way for WiFi-based indoor positioning
and location analysis. Locating people in indoor environments has numerous applications
in robotics, crowd control, indoor facility optimization, and automated environment
mapping. However, existing WiFi-based positioning systems suffer from two major
problems: (1) their accuracy and precision is limited due to inherent noise induced
by indoor obstacles, and (2) they only occasionally provide location estimates,
namely when a WiFi-equipped device emits a signal. To mitigate these two issues,
we propose a novel Gaussian process (GP) model for WiFi signal strength measurements.
It allows for simultaneous smoothing (increasing accuracy and precision of estimators)
and interpolation (enabling continuous sampling of location estimates). Furthermore,
simple and efficient smoothing methods for location estimates are introduced to
improve localization performance in real-time settings. Experiments are conducted
on two data sets from a large real-world commercial indoor retail environment.
Results demonstrate that our approach provides significant improvements in terms
of precision and accuracy with respect to unfiltered data. Ultimately, the GP
model realizes continuous location sampling with consistently high quality location
estimates.'
author:
- first_name: J.E.
full_name: van Engelen, J.E.
last_name: van Engelen
- first_name: J.J.
full_name: van Lier, J.J.
last_name: van Lier
- first_name: F.W.
full_name: Takes, F.W.
last_name: Takes
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'van Engelen JE, van Lier JJ, Takes FW, Trautmann H. Accurate WiFi based indoor
positioning with continuous location sampling. In: Proceedings of the European
Conference on Machine Learning and Principles and Practice of Knowledge Discovery
in Database (ECML/PKDD). Springer; 2018:524–540.'
apa: van Engelen, J. E., van Lier, J. J., Takes, F. W., & Trautmann, H. (2018).
Accurate WiFi based indoor positioning with continuous location sampling. Proceedings
of the European Conference on Machine Learning and Principles and Practice of
Knowledge Discovery in Database (ECML/PKDD), 524–540.
bibtex: '@inproceedings{van Engelen_van Lier_Takes_Trautmann_2018, place={Dublin,
Ireland}, title={Accurate WiFi based indoor positioning with continuous location
sampling}, booktitle={Proceedings of the European Conference on Machine Learning
and Principles and Practice of Knowledge Discovery in Database (ECML/PKDD)}, publisher={Springer},
author={van Engelen, J.E. and van Lier, J.J. and Takes, F.W. and Trautmann, Heike},
year={2018}, pages={524–540} }'
chicago: 'Engelen, J.E. van, J.J. van Lier, F.W. Takes, and Heike Trautmann. “Accurate
WiFi Based Indoor Positioning with Continuous Location Sampling.” In Proceedings
of the European Conference on Machine Learning and Principles and Practice of
Knowledge Discovery in Database (ECML/PKDD), 524–540. Dublin, Ireland: Springer,
2018.'
ieee: J. E. van Engelen, J. J. van Lier, F. W. Takes, and H. Trautmann, “Accurate
WiFi based indoor positioning with continuous location sampling,” in Proceedings
of the European Conference on Machine Learning and Principles and Practice of
Knowledge Discovery in Database (ECML/PKDD), 2018, pp. 524–540.
mla: van Engelen, J. E., et al. “Accurate WiFi Based Indoor Positioning with Continuous
Location Sampling.” Proceedings of the European Conference on Machine Learning
and Principles and Practice of Knowledge Discovery in Database (ECML/PKDD),
Springer, 2018, pp. 524–540.
short: 'J.E. van Engelen, J.J. van Lier, F.W. Takes, H. Trautmann, in: Proceedings
of the European Conference on Machine Learning and Principles and Practice of
Knowledge Discovery in Database (ECML/PKDD), Springer, Dublin, Ireland, 2018,
pp. 524–540.'
date_created: 2023-08-04T07:54:43Z
date_updated: 2023-10-16T13:33:18Z
department:
- _id: '34'
- _id: '819'
language:
- iso: eng
page: 524–540
place: Dublin, Ireland
publication: Proceedings of the European Conference on Machine Learning and Principles
and Practice of Knowledge Discovery in Database (ECML/PKDD)
publisher: Springer
status: public
title: Accurate WiFi based indoor positioning with continuous location sampling
type: conference
user_id: '15504'
year: '2018'
...
---
_id: '46351'
abstract:
- lang: eng
text: Clustering is an important field in data mining that aims to reveal hidden
patterns in data sets. It is widely popular in marketing or medical applications
and used to identify groups of similar objects. Clustering possibly unbounded
and evolving data streams is of particular interest due to the widespread deployment
of large and fast data sources such as sensors. The vast majority of stream clustering
algorithms employ a two-phase approach where the stream is first summarized in
an online phase. Upon request, an offline phase reclusters the aggregations into
the final clusters. In this setup, the online component will idle and wait for
the next observation in times where the stream is slow. This paper proposes a
new stream clustering algorithm called evoStream which performs evolutionary optimization
in the idle times of the online phase to incrementally build and refine the final
clusters. Since the online phase would idle otherwise, our approach does not reduce
the processing speed while effectively removing the computational overhead of
the offline phase. In extensive experiments on real data streams we show that
the proposed algorithm allows to output clusters of high quality at any time within
the stream without the need for additional computational resources.
author:
- first_name: Matthias
full_name: Carnein, Matthias
last_name: Carnein
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: Carnein M, Trautmann H. evoStream — Evolutionary Stream Clustering Utilizing
Idle Times. Big Data Research. 2018;14:101–111. doi:10.1016/j.bdr.2018.05.005
apa: Carnein, M., & Trautmann, H. (2018). evoStream — Evolutionary Stream Clustering
Utilizing Idle Times. Big Data Research, 14, 101–111. https://doi.org/10.1016/j.bdr.2018.05.005
bibtex: '@article{Carnein_Trautmann_2018, title={evoStream — Evolutionary Stream
Clustering Utilizing Idle Times}, volume={14}, DOI={10.1016/j.bdr.2018.05.005},
journal={Big Data Research}, author={Carnein, Matthias and Trautmann, Heike},
year={2018}, pages={101–111} }'
chicago: 'Carnein, Matthias, and Heike Trautmann. “EvoStream — Evolutionary Stream
Clustering Utilizing Idle Times.” Big Data Research 14 (2018): 101–111.
https://doi.org/10.1016/j.bdr.2018.05.005.'
ieee: 'M. Carnein and H. Trautmann, “evoStream — Evolutionary Stream Clustering
Utilizing Idle Times,” Big Data Research, vol. 14, pp. 101–111, 2018, doi:
10.1016/j.bdr.2018.05.005.'
mla: Carnein, Matthias, and Heike Trautmann. “EvoStream — Evolutionary Stream Clustering
Utilizing Idle Times.” Big Data Research, vol. 14, 2018, pp. 101–111, doi:10.1016/j.bdr.2018.05.005.
short: M. Carnein, H. Trautmann, Big Data Research 14 (2018) 101–111.
date_created: 2023-08-04T07:55:33Z
date_updated: 2023-10-16T13:33:43Z
department:
- _id: '34'
- _id: '819'
doi: 10.1016/j.bdr.2018.05.005
intvolume: ' 14'
language:
- iso: eng
page: 101–111
publication: Big Data Research
status: public
title: evoStream — Evolutionary Stream Clustering Utilizing Idle Times
type: journal_article
user_id: '15504'
volume: 14
year: '2018'
...
---
_id: '46353'
abstract:
- lang: eng
text: 'Incorporating decision makers'' preferences is of great significance in multiobjective
optimization. Target region-based multiobjective evolutionary algorithms (TMOEAs),
aiming at a well-distributed subset of Pareto optimal solutions within the user-provided
region(s), are extensively investigated in this paper. An empirical comparison
is performed among three TMOEA instantiations: T-NSGA-II, T-SMS-EMOA and T-R2-EMOA.
Experimental results show that T-SMS-EMOA has the best overall performance regarding
the hypervolume indicator within the target region, while T-NSGA-II is the fastest
algorithm. We also compare TMOEAs with other state-of-the-art preference-based
approaches, i.e., DF-SMS-EMOA, RVEA, AS-EMOA and R-NSGA-II to show the advantages
of TMOEAs. A case study in the mission planning of earth observation satellite
is carried out to verify the capabilities of TMOEAs in the real-world application.
Experimental results indicate that preferences can improve the searching ability
of MOEAs, and TMOEAs can successfully find nondominated solutions preferred by
the decision maker.'
author:
- first_name: L
full_name: Li, L
last_name: Li
- first_name: Y
full_name: Wang, Y
last_name: Wang
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
- first_name: N
full_name: Jing, N
last_name: Jing
- first_name: M
full_name: Emmerich, M
last_name: Emmerich
citation:
ama: Li L, Wang Y, Trautmann H, Jing N, Emmerich M. Multiobjective evolutionary
algorithms based on target region preferences. Swarm and Evolutionary Computation.
2018;40:196–215. doi:10.1016/j.swevo.2018.02.006
apa: Li, L., Wang, Y., Trautmann, H., Jing, N., & Emmerich, M. (2018). Multiobjective
evolutionary algorithms based on target region preferences. Swarm and Evolutionary
Computation, 40, 196–215. https://doi.org/10.1016/j.swevo.2018.02.006
bibtex: '@article{Li_Wang_Trautmann_Jing_Emmerich_2018, title={Multiobjective evolutionary
algorithms based on target region preferences}, volume={40}, DOI={10.1016/j.swevo.2018.02.006},
journal={Swarm and Evolutionary Computation}, author={Li, L and Wang, Y and Trautmann,
Heike and Jing, N and Emmerich, M}, year={2018}, pages={196–215} }'
chicago: 'Li, L, Y Wang, Heike Trautmann, N Jing, and M Emmerich. “Multiobjective
Evolutionary Algorithms Based on Target Region Preferences.” Swarm and Evolutionary
Computation 40 (2018): 196–215. https://doi.org/10.1016/j.swevo.2018.02.006.'
ieee: 'L. Li, Y. Wang, H. Trautmann, N. Jing, and M. Emmerich, “Multiobjective evolutionary
algorithms based on target region preferences,” Swarm and Evolutionary Computation,
vol. 40, pp. 196–215, 2018, doi: 10.1016/j.swevo.2018.02.006.'
mla: Li, L., et al. “Multiobjective Evolutionary Algorithms Based on Target Region
Preferences.” Swarm and Evolutionary Computation, vol. 40, 2018, pp. 196–215,
doi:10.1016/j.swevo.2018.02.006.
short: L. Li, Y. Wang, H. Trautmann, N. Jing, M. Emmerich, Swarm and Evolutionary
Computation 40 (2018) 196–215.
date_created: 2023-08-04T07:56:57Z
date_updated: 2023-10-16T13:34:21Z
department:
- _id: '34'
- _id: '819'
doi: 10.1016/j.swevo.2018.02.006
intvolume: ' 40'
language:
- iso: eng
page: 196–215
publication: Swarm and Evolutionary Computation
status: public
title: Multiobjective evolutionary algorithms based on target region preferences
type: journal_article
user_id: '15504'
volume: 40
year: '2018'
...
---
_id: '48839'
abstract:
- lang: eng
text: We analyze the effects of including local search techniques into a multi-objective
evolutionary algorithm for solving a bi-objective orienteering problem with a
single vehicle while the two conflicting objectives are minimization of travel
time and maximization of the number of visited customer locations. Experiments
are based on a large set of specifically designed problem instances with different
characteristics and it is shown that local search techniques focusing on one of
the objectives only improve the performance of the evolutionary algorithm in terms
of both objectives. The analysis also shows that local search techniques are capable
of sending locally optimal solutions to foremost fronts of the multi-objective
optimization process, and that these solutions then become the leading factors
of the evolutionary process.
author:
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Christian
full_name: Grimme, Christian
last_name: Grimme
- first_name: Stephan
full_name: Meisel, Stephan
last_name: Meisel
- first_name: Günter
full_name: Rudolph, Günter
last_name: Rudolph
- first_name: Heike
full_name: Trautmann, Heike
last_name: Trautmann
citation:
ama: 'Bossek J, Grimme C, Meisel S, Rudolph G, Trautmann H. Local Search Effects
in Bi-Objective Orienteering. In: Proceedings of the Genetic and Evolutionary
Computation Conference. GECCO ’18. Association for Computing Machinery; 2018:585–592.
doi:10.1145/3205455.3205548'
apa: Bossek, J., Grimme, C., Meisel, S., Rudolph, G., & Trautmann, H. (2018).
Local Search Effects in Bi-Objective Orienteering. Proceedings of the Genetic
and Evolutionary Computation Conference, 585–592. https://doi.org/10.1145/3205455.3205548
bibtex: '@inproceedings{Bossek_Grimme_Meisel_Rudolph_Trautmann_2018, place={New
York, NY, USA}, series={GECCO ’18}, title={Local Search Effects in Bi-Objective
Orienteering}, DOI={10.1145/3205455.3205548},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference},
publisher={Association for Computing Machinery}, author={Bossek, Jakob and Grimme,
Christian and Meisel, Stephan and Rudolph, Günter and Trautmann, Heike}, year={2018},
pages={585–592}, collection={GECCO ’18} }'
chicago: 'Bossek, Jakob, Christian Grimme, Stephan Meisel, Günter Rudolph, and Heike
Trautmann. “Local Search Effects in Bi-Objective Orienteering.” In Proceedings
of the Genetic and Evolutionary Computation Conference, 585–592. GECCO ’18.
New York, NY, USA: Association for Computing Machinery, 2018. https://doi.org/10.1145/3205455.3205548.'
ieee: 'J. Bossek, C. Grimme, S. Meisel, G. Rudolph, and H. Trautmann, “Local Search
Effects in Bi-Objective Orienteering,” in Proceedings of the Genetic and Evolutionary
Computation Conference, 2018, pp. 585–592, doi: 10.1145/3205455.3205548.'
mla: Bossek, Jakob, et al. “Local Search Effects in Bi-Objective Orienteering.”
Proceedings of the Genetic and Evolutionary Computation Conference, Association
for Computing Machinery, 2018, pp. 585–592, doi:10.1145/3205455.3205548.
short: 'J. Bossek, C. Grimme, S. Meisel, G. Rudolph, H. Trautmann, in: Proceedings
of the Genetic and Evolutionary Computation Conference, Association for Computing
Machinery, New York, NY, USA, 2018, pp. 585–592.'
date_created: 2023-11-14T15:58:51Z
date_updated: 2023-12-13T10:42:14Z
department:
- _id: '819'
doi: 10.1145/3205455.3205548
extern: '1'
keyword:
- combinatorial optimization
- metaheuristics
- multi-objective optimization
- orienteering
- transportation
language:
- iso: eng
page: 585–592
place: New York, NY, USA
publication: Proceedings of the Genetic and Evolutionary Computation Conference
publication_identifier:
isbn:
- 978-1-4503-5618-3
publication_status: published
publisher: Association for Computing Machinery
series_title: GECCO ’18
status: public
title: Local Search Effects in Bi-Objective Orienteering
type: conference
user_id: '102979'
year: '2018'
...
---
_id: '48867'
abstract:
- lang: eng
text: Assessing the performance of stochastic optimization algorithms in the field
of multi-objective optimization is of utmost importance. Besides the visual comparison
of the obtained approximation sets, more sophisticated methods have been proposed
in the last decade, e. g., a variety of quantitative performance indicators or
statistical tests. In this paper, we present tools implemented in the R package
ecr, which assist in performing comprehensive and sound comparison and evaluation
of multi-objective evolutionary algorithms following recommendations from the
literature.
author:
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
citation:
ama: 'Bossek J. Performance Assessment of Multi-Objective Evolutionary Algorithms
with the R Package ecr. In: Proceedings of the Genetic and Evolutionary Computation
Conference Companion. GECCO ’18. Association for Computing Machinery; 2018:1350–1356.
doi:10.1145/3205651.3208312'
apa: Bossek, J. (2018). Performance Assessment of Multi-Objective Evolutionary Algorithms
with the R Package ecr. Proceedings of the Genetic and Evolutionary Computation
Conference Companion, 1350–1356. https://doi.org/10.1145/3205651.3208312
bibtex: '@inproceedings{Bossek_2018, place={New York, NY, USA}, series={GECCO ’18},
title={Performance Assessment of Multi-Objective Evolutionary Algorithms with
the R Package ecr}, DOI={10.1145/3205651.3208312},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference
Companion}, publisher={Association for Computing Machinery}, author={Bossek, Jakob},
year={2018}, pages={1350–1356}, collection={GECCO ’18} }'
chicago: 'Bossek, Jakob. “Performance Assessment of Multi-Objective Evolutionary
Algorithms with the R Package Ecr.” In Proceedings of the Genetic and Evolutionary
Computation Conference Companion, 1350–1356. GECCO ’18. New York, NY, USA:
Association for Computing Machinery, 2018. https://doi.org/10.1145/3205651.3208312.'
ieee: 'J. Bossek, “Performance Assessment of Multi-Objective Evolutionary Algorithms
with the R Package ecr,” in Proceedings of the Genetic and Evolutionary Computation
Conference Companion, 2018, pp. 1350–1356, doi: 10.1145/3205651.3208312.'
mla: Bossek, Jakob. “Performance Assessment of Multi-Objective Evolutionary Algorithms
with the R Package Ecr.” Proceedings of the Genetic and Evolutionary Computation
Conference Companion, Association for Computing Machinery, 2018, pp. 1350–1356,
doi:10.1145/3205651.3208312.
short: 'J. Bossek, in: Proceedings of the Genetic and Evolutionary Computation Conference
Companion, Association for Computing Machinery, New York, NY, USA, 2018, pp. 1350–1356.'
date_created: 2023-11-14T15:58:56Z
date_updated: 2023-12-13T10:46:04Z
department:
- _id: '819'
doi: 10.1145/3205651.3208312
extern: '1'
keyword:
- evolutionary optimization
- performance assessment
- software-tools
language:
- iso: eng
page: 1350–1356
place: New York, NY, USA
publication: Proceedings of the Genetic and Evolutionary Computation Conference Companion
publication_identifier:
isbn:
- 978-1-4503-5764-7
publication_status: published
publisher: Association for Computing Machinery
series_title: GECCO ’18
status: public
title: Performance Assessment of Multi-Objective Evolutionary Algorithms with the
R Package ecr
type: conference
user_id: '102979'
year: '2018'
...
---
_id: '48885'
abstract:
- lang: eng
text: Performance comparisons of optimization algorithms are heavily influenced
by the underlying indicator(s). In this paper we investigate commonly used performance
indicators for single-objective stochastic solvers, such as the Penalized Average
Runtime (e.g., PAR10) or the Expected Running Time (ERT), based on exemplary benchmark
performances of state-of-the-art inexact TSP solvers. Thereby, we introduce a
methodology for analyzing the effects of (usually heuristically set) indicator
parametrizations - such as the penalty factor and the method used for aggregating
across multiple runs - w.r.t. the robustness of the considered optimization algorithms.
author:
- first_name: Pascal
full_name: Kerschke, Pascal
last_name: Kerschke
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Heike
full_name: Trautmann, Heike
last_name: Trautmann
citation:
ama: 'Kerschke P, Bossek J, Trautmann H. Parameterization of State-of-the-Art Performance
Indicators: A Robustness Study Based on Inexact TSP Solvers. In: Proceedings
of the Genetic and Evolutionary Computation Conference Companion. GECCO’18.
Association for Computing Machinery; 2018:1737–1744. doi:10.1145/3205651.3208233'
apa: 'Kerschke, P., Bossek, J., & Trautmann, H. (2018). Parameterization of
State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP
Solvers. Proceedings of the Genetic and Evolutionary Computation Conference
Companion, 1737–1744. https://doi.org/10.1145/3205651.3208233'
bibtex: '@inproceedings{Kerschke_Bossek_Trautmann_2018, place={New York, NY, USA},
series={GECCO’18}, title={Parameterization of State-of-the-Art Performance Indicators:
A Robustness Study Based on Inexact TSP Solvers}, DOI={10.1145/3205651.3208233},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference
Companion}, publisher={Association for Computing Machinery}, author={Kerschke,
Pascal and Bossek, Jakob and Trautmann, Heike}, year={2018}, pages={1737–1744},
collection={GECCO’18} }'
chicago: 'Kerschke, Pascal, Jakob Bossek, and Heike Trautmann. “Parameterization
of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact
TSP Solvers.” In Proceedings of the Genetic and Evolutionary Computation Conference
Companion, 1737–1744. GECCO’18. New York, NY, USA: Association for Computing
Machinery, 2018. https://doi.org/10.1145/3205651.3208233.'
ieee: 'P. Kerschke, J. Bossek, and H. Trautmann, “Parameterization of State-of-the-Art
Performance Indicators: A Robustness Study Based on Inexact TSP Solvers,” in Proceedings
of the Genetic and Evolutionary Computation Conference Companion, 2018, pp.
1737–1744, doi: 10.1145/3205651.3208233.'
mla: 'Kerschke, Pascal, et al. “Parameterization of State-of-the-Art Performance
Indicators: A Robustness Study Based on Inexact TSP Solvers.” Proceedings of
the Genetic and Evolutionary Computation Conference Companion, Association
for Computing Machinery, 2018, pp. 1737–1744, doi:10.1145/3205651.3208233.'
short: 'P. Kerschke, J. Bossek, H. Trautmann, in: Proceedings of the Genetic and
Evolutionary Computation Conference Companion, Association for Computing Machinery,
New York, NY, USA, 2018, pp. 1737–1744.'
date_created: 2023-11-14T15:58:59Z
date_updated: 2023-12-13T10:48:38Z
department:
- _id: '819'
doi: 10.1145/3205651.3208233
extern: '1'
keyword:
- algorithm selection
- optimization
- performance measures
- transportation
- travelling salesperson problem
language:
- iso: eng
page: 1737–1744
place: New York, NY, USA
publication: Proceedings of the Genetic and Evolutionary Computation Conference Companion
publication_identifier:
isbn:
- 978-1-4503-5764-7
publisher: Association for Computing Machinery
series_title: GECCO’18
status: public
title: 'Parameterization of State-of-the-Art Performance Indicators: A Robustness
Study Based on Inexact TSP Solvers'
type: conference
user_id: '102979'
year: '2018'
...
---
_id: '48880'
author:
- first_name: Christian
full_name: Grimme, Christian
last_name: Grimme
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
citation:
ama: Grimme C, Bossek J. Einführung in Die Optimierung - Konzepte, Methoden Und
Anwendungen. Springer Vieweg; 2018. doi:10.1007/978-3-658-21151-6
apa: Grimme, C., & Bossek, J. (2018). Einführung in die Optimierung - Konzepte,
Methoden und Anwendungen. Springer Vieweg. https://doi.org/10.1007/978-3-658-21151-6
bibtex: '@book{Grimme_Bossek_2018, title={Einführung in die Optimierung - Konzepte,
Methoden und Anwendungen}, DOI={10.1007/978-3-658-21151-6},
publisher={Springer Vieweg}, author={Grimme, Christian and Bossek, Jakob}, year={2018}
}'
chicago: Grimme, Christian, and Jakob Bossek. Einführung in Die Optimierung -
Konzepte, Methoden Und Anwendungen. Springer Vieweg, 2018. https://doi.org/10.1007/978-3-658-21151-6.
ieee: C. Grimme and J. Bossek, Einführung in die Optimierung - Konzepte, Methoden
und Anwendungen. Springer Vieweg, 2018.
mla: Grimme, Christian, and Jakob Bossek. Einführung in Die Optimierung - Konzepte,
Methoden Und Anwendungen. Springer Vieweg, 2018, doi:10.1007/978-3-658-21151-6.
short: C. Grimme, J. Bossek, Einführung in Die Optimierung - Konzepte, Methoden
Und Anwendungen, Springer Vieweg, 2018.
date_created: 2023-11-14T15:58:58Z
date_updated: 2023-12-13T10:47:57Z
department:
- _id: '819'
doi: 10.1007/978-3-658-21151-6
extern: '1'
language:
- iso: eng
publication_identifier:
isbn:
- 978-3-658-21150-9
publisher: Springer Vieweg
status: public
title: Einführung in die Optimierung - Konzepte, Methoden und Anwendungen
type: book
user_id: '102979'
year: '2018'
...
---
_id: '48884'
abstract:
- lang: eng
text: The Travelling Salesperson Problem (TSP) is one of the best-studied NP-hard
problems. Over the years, many different solution approaches and solvers have
been developed. For the first time, we directly compare five state-of-the-art
inexact solvers\textemdash namely, LKH, EAX, restart variants of those, and MAOS\textemdash
on a large set of well-known benchmark instances and demonstrate complementary
performance, in that different instances may be solved most effectively by different
algorithms. We leverage this complementarity to build an algorithm selector, which
selects the best TSP solver on a per-instance basis and thus achieves significantly
improved performance compared to the single best solver, representing an advance
in the state of the art in solving the Euclidean TSP. Our in-depth analysis of
the selectors provides insight into what drives this performance improvement.
author:
- first_name: Pascal
full_name: Kerschke, Pascal
last_name: Kerschke
- first_name: Lars
full_name: Kotthoff, Lars
last_name: Kotthoff
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Holger H.
full_name: Hoos, Holger H.
last_name: Hoos
- first_name: Heike
full_name: Trautmann, Heike
last_name: Trautmann
citation:
ama: Kerschke P, Kotthoff L, Bossek J, Hoos HH, Trautmann H. Leveraging TSP Solver
Complementarity through Machine Learning. Evolutionary Computation. 2018;26(4):597–620.
doi:10.1162/evco_a_00215
apa: Kerschke, P., Kotthoff, L., Bossek, J., Hoos, H. H., & Trautmann, H. (2018).
Leveraging TSP Solver Complementarity through Machine Learning. Evolutionary
Computation, 26(4), 597–620. https://doi.org/10.1162/evco_a_00215
bibtex: '@article{Kerschke_Kotthoff_Bossek_Hoos_Trautmann_2018, title={Leveraging
TSP Solver Complementarity through Machine Learning}, volume={26}, DOI={10.1162/evco_a_00215},
number={4}, journal={Evolutionary Computation}, author={Kerschke, Pascal and Kotthoff,
Lars and Bossek, Jakob and Hoos, Holger H. and Trautmann, Heike}, year={2018},
pages={597–620} }'
chicago: 'Kerschke, Pascal, Lars Kotthoff, Jakob Bossek, Holger H. Hoos, and Heike
Trautmann. “Leveraging TSP Solver Complementarity through Machine Learning.” Evolutionary
Computation 26, no. 4 (2018): 597–620. https://doi.org/10.1162/evco_a_00215.'
ieee: 'P. Kerschke, L. Kotthoff, J. Bossek, H. H. Hoos, and H. Trautmann, “Leveraging
TSP Solver Complementarity through Machine Learning,” Evolutionary Computation,
vol. 26, no. 4, pp. 597–620, 2018, doi: 10.1162/evco_a_00215.'
mla: Kerschke, Pascal, et al. “Leveraging TSP Solver Complementarity through Machine
Learning.” Evolutionary Computation, vol. 26, no. 4, 2018, pp. 597–620,
doi:10.1162/evco_a_00215.
short: P. Kerschke, L. Kotthoff, J. Bossek, H.H. Hoos, H. Trautmann, Evolutionary
Computation 26 (2018) 597–620.
date_created: 2023-11-14T15:58:58Z
date_updated: 2023-12-13T10:51:26Z
department:
- _id: '819'
doi: 10.1162/evco_a_00215
intvolume: ' 26'
issue: '4'
keyword:
- automated algorithm selection
- machine learning.
- performance modeling
- Travelling Salesperson Problem
language:
- iso: eng
page: 597–620
publication: Evolutionary Computation
publication_identifier:
issn:
- 1063-6560
status: public
title: Leveraging TSP Solver Complementarity through Machine Learning
type: journal_article
user_id: '102979'
volume: 26
year: '2018'
...
---
_id: '48866'
abstract:
- lang: eng
text: 'Bossek, (2018). grapherator: A Modular Multi-Step Graph Generator. Journal
of Open Source Software, 3(22), 528, https://doi.org/10.21105/joss.00528'
author:
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
citation:
ama: 'Bossek J. Grapherator: A Modular Multi-Step Graph Generator. Journal of
Open Source Software. 2018;3(22):528. doi:10.21105/joss.00528'
apa: 'Bossek, J. (2018). Grapherator: A Modular Multi-Step Graph Generator. Journal
of Open Source Software, 3(22), 528. https://doi.org/10.21105/joss.00528'
bibtex: '@article{Bossek_2018, title={Grapherator: A Modular Multi-Step Graph Generator},
volume={3}, DOI={10.21105/joss.00528},
number={22}, journal={Journal of Open Source Software}, author={Bossek, Jakob},
year={2018}, pages={528} }'
chicago: 'Bossek, Jakob. “Grapherator: A Modular Multi-Step Graph Generator.” Journal
of Open Source Software 3, no. 22 (2018): 528. https://doi.org/10.21105/joss.00528.'
ieee: 'J. Bossek, “Grapherator: A Modular Multi-Step Graph Generator,” Journal
of Open Source Software, vol. 3, no. 22, p. 528, 2018, doi: 10.21105/joss.00528.'
mla: 'Bossek, Jakob. “Grapherator: A Modular Multi-Step Graph Generator.” Journal
of Open Source Software, vol. 3, no. 22, 2018, p. 528, doi:10.21105/joss.00528.'
short: J. Bossek, Journal of Open Source Software 3 (2018) 528.
date_created: 2023-11-14T15:58:56Z
date_updated: 2023-12-13T10:51:50Z
department:
- _id: '819'
doi: 10.21105/joss.00528
intvolume: ' 3'
issue: '22'
language:
- iso: eng
page: '528'
publication: Journal of Open Source Software
publication_identifier:
issn:
- 2475-9066
status: public
title: 'Grapherator: A Modular Multi-Step Graph Generator'
type: journal_article
user_id: '102979'
volume: 3
year: '2018'
...
---
_id: '47253'
alternative_title:
- How Browsers' Explanations Impact Misconceptions About Private Browsing Mode
author:
- first_name: Yuxi
full_name: Wu, Yuxi
last_name: Wu
- first_name: Panya
full_name: Gupta, Panya
last_name: Gupta
- first_name: Miranda
full_name: Wei, Miranda
last_name: Wei
- first_name: Yasemin
full_name: Acar, Yasemin
id: '94636'
last_name: Acar
- first_name: Sascha
full_name: Fahl, Sascha
last_name: Fahl
- first_name: Blase
full_name: Ur, Blase
last_name: Ur
citation:
ama: 'Wu Y, Gupta P, Wei M, Acar Y, Fahl S, Ur B. Your Secrets Are Safe. In: Proceedings
of the 2018 World Wide Web Conference on World Wide Web - WWW ’18. ACM Press;
2018. doi:10.1145/3178876.3186088'
apa: Wu, Y., Gupta, P., Wei, M., Acar, Y., Fahl, S., & Ur, B. (2018). Your Secrets
Are Safe. Proceedings of the 2018 World Wide Web Conference on World Wide Web
- WWW ’18. https://doi.org/10.1145/3178876.3186088
bibtex: '@inproceedings{Wu_Gupta_Wei_Acar_Fahl_Ur_2018, title={Your Secrets Are
Safe}, DOI={10.1145/3178876.3186088},
booktitle={Proceedings of the 2018 World Wide Web Conference on World Wide Web
- WWW ’18}, publisher={ACM Press}, author={Wu, Yuxi and Gupta, Panya and Wei,
Miranda and Acar, Yasemin and Fahl, Sascha and Ur, Blase}, year={2018} }'
chicago: Wu, Yuxi, Panya Gupta, Miranda Wei, Yasemin Acar, Sascha Fahl, and Blase
Ur. “Your Secrets Are Safe.” In Proceedings of the 2018 World Wide Web Conference
on World Wide Web - WWW ’18. ACM Press, 2018. https://doi.org/10.1145/3178876.3186088.
ieee: 'Y. Wu, P. Gupta, M. Wei, Y. Acar, S. Fahl, and B. Ur, “Your Secrets Are Safe,”
2018, doi: 10.1145/3178876.3186088.'
mla: Wu, Yuxi, et al. “Your Secrets Are Safe.” Proceedings of the 2018 World
Wide Web Conference on World Wide Web - WWW ’18, ACM Press, 2018, doi:10.1145/3178876.3186088.
short: 'Y. Wu, P. Gupta, M. Wei, Y. Acar, S. Fahl, B. Ur, in: Proceedings of the
2018 World Wide Web Conference on World Wide Web - WWW ’18, ACM Press, 2018.'
date_created: 2023-09-22T12:52:15Z
date_updated: 2024-06-05T13:06:44Z
department:
- _id: '34'
- _id: '858'
doi: 10.1145/3178876.3186088
extern: '1'
language:
- iso: eng
publication: Proceedings of the 2018 World Wide Web Conference on World Wide Web -
WWW '18
publication_status: published
publisher: ACM Press
status: public
title: Your Secrets Are Safe
type: conference
user_id: '14931'
year: '2018'
...
---
_id: '47255'
author:
- first_name: Julie M.
full_name: Haney, Julie M.
last_name: Haney
- first_name: Mary
full_name: Theofanos, Mary
last_name: Theofanos
- first_name: Yasemin
full_name: Acar, Yasemin
id: '94636'
last_name: Acar
- first_name: Sandra Spickard
full_name: Prettyman, Sandra Spickard
last_name: Prettyman
citation:
ama: 'Haney JM, Theofanos M, Acar Y, Prettyman SS. “We make it a big deal in the
company”: Security Mindsets in Organizations that Develop Cryptographic Products.
In: Zurko ME, Lipford HR, eds. Fourteenth Symposium on Usable Privacy and Security,
SOUPS 2018, Baltimore, MD, USA, August 12-14, 2018. USENIX Association; 2018:357–373.'
apa: 'Haney, J. M., Theofanos, M., Acar, Y., & Prettyman, S. S. (2018). “We
make it a big deal in the company”: Security Mindsets in Organizations that Develop
Cryptographic Products. In M. E. Zurko & H. R. Lipford (Eds.), Fourteenth
Symposium on Usable Privacy and Security, SOUPS 2018, Baltimore, MD, USA, August
12-14, 2018 (pp. 357–373). USENIX Association.'
bibtex: '@inproceedings{Haney_Theofanos_Acar_Prettyman_2018, title={“We make it
a big deal in the company”: Security Mindsets in Organizations that Develop Cryptographic
Products}, booktitle={Fourteenth Symposium on Usable Privacy and Security, SOUPS
2018, Baltimore, MD, USA, August 12-14, 2018}, publisher={USENIX Association},
author={Haney, Julie M. and Theofanos, Mary and Acar, Yasemin and Prettyman, Sandra
Spickard}, editor={Zurko, Mary Ellen and Lipford, Heather Richter}, year={2018},
pages={357–373} }'
chicago: 'Haney, Julie M., Mary Theofanos, Yasemin Acar, and Sandra Spickard Prettyman.
“‘We Make It a Big Deal in the Company’: Security Mindsets in Organizations That
Develop Cryptographic Products.” In Fourteenth Symposium on Usable Privacy
and Security, SOUPS 2018, Baltimore, MD, USA, August 12-14, 2018, edited by
Mary Ellen Zurko and Heather Richter Lipford, 357–373. USENIX Association, 2018.'
ieee: 'J. M. Haney, M. Theofanos, Y. Acar, and S. S. Prettyman, “‘We make it a big
deal in the company’: Security Mindsets in Organizations that Develop Cryptographic
Products,” in Fourteenth Symposium on Usable Privacy and Security, SOUPS 2018,
Baltimore, MD, USA, August 12-14, 2018, 2018, pp. 357–373.'
mla: 'Haney, Julie M., et al. “‘We Make It a Big Deal in the Company’: Security
Mindsets in Organizations That Develop Cryptographic Products.” Fourteenth
Symposium on Usable Privacy and Security, SOUPS 2018, Baltimore, MD, USA, August
12-14, 2018, edited by Mary Ellen Zurko and Heather Richter Lipford, USENIX
Association, 2018, pp. 357–373.'
short: 'J.M. Haney, M. Theofanos, Y. Acar, S.S. Prettyman, in: M.E. Zurko, H.R.
Lipford (Eds.), Fourteenth Symposium on Usable Privacy and Security, SOUPS 2018,
Baltimore, MD, USA, August 12-14, 2018, USENIX Association, 2018, pp. 357–373.'
date_created: 2023-09-22T12:53:12Z
date_updated: 2024-06-05T13:07:06Z
department:
- _id: '34'
- _id: '858'
editor:
- first_name: Mary Ellen
full_name: Zurko, Mary Ellen
last_name: Zurko
- first_name: Heather Richter
full_name: Lipford, Heather Richter
last_name: Lipford
extern: '1'
language:
- iso: eng
page: 357–373
publication: Fourteenth Symposium on Usable Privacy and Security, SOUPS 2018, Baltimore,
MD, USA, August 12-14, 2018
publisher: USENIX Association
status: public
title: '"We make it a big deal in the company": Security Mindsets in Organizations
that Develop Cryptographic Products'
type: conference
user_id: '14931'
year: '2018'
...
---
_id: '47876'
author:
- first_name: Julie
full_name: Haney, Julie
last_name: Haney
- first_name: Mary
full_name: Theofanos, Mary
last_name: Theofanos
- first_name: Yasemin
full_name: Acar, Yasemin
id: '94636'
last_name: Acar
- first_name: Sandra Spickard
full_name: Prettyman, Sandra Spickard
last_name: Prettyman
citation:
ama: Haney J, Theofanos M, Acar Y, Prettyman SS. Organizational Views of NIST
Cryptographic Standards and Testing and Validation Programs. National Institute
of Standards and Technology; 2018. doi:10.6028/nist.ir.8241
apa: Haney, J., Theofanos, M., Acar, Y., & Prettyman, S. S. (2018). Organizational
views of NIST cryptographic standards and testing and validation programs.
National Institute of Standards and Technology. https://doi.org/10.6028/nist.ir.8241
bibtex: '@book{Haney_Theofanos_Acar_Prettyman_2018, title={Organizational views
of NIST cryptographic standards and testing and validation programs}, DOI={10.6028/nist.ir.8241}, publisher={National
Institute of Standards and Technology}, author={Haney, Julie and Theofanos, Mary
and Acar, Yasemin and Prettyman, Sandra Spickard}, year={2018} }'
chicago: Haney, Julie, Mary Theofanos, Yasemin Acar, and Sandra Spickard Prettyman.
Organizational Views of NIST Cryptographic Standards and Testing and Validation
Programs. National Institute of Standards and Technology, 2018. https://doi.org/10.6028/nist.ir.8241.
ieee: J. Haney, M. Theofanos, Y. Acar, and S. S. Prettyman, Organizational views
of NIST cryptographic standards and testing and validation programs. National
Institute of Standards and Technology, 2018.
mla: Haney, Julie, et al. Organizational Views of NIST Cryptographic Standards
and Testing and Validation Programs. National Institute of Standards and Technology,
2018, doi:10.6028/nist.ir.8241.
short: J. Haney, M. Theofanos, Y. Acar, S.S. Prettyman, Organizational Views of
NIST Cryptographic Standards and Testing and Validation Programs, National Institute
of Standards and Technology, 2018.
date_created: 2023-10-09T13:18:41Z
date_updated: 2024-06-05T13:05:57Z
department:
- _id: '34'
- _id: '858'
doi: 10.6028/nist.ir.8241
extern: '1'
language:
- iso: eng
publication_status: published
publisher: National Institute of Standards and Technology
status: public
title: Organizational views of NIST cryptographic standards and testing and validation
programs
type: report
user_id: '14931'
year: '2018'
...
---
_id: '47256'
author:
- first_name: Peter Leo
full_name: Gorski, Peter Leo
last_name: Gorski
- first_name: Luigi Lo
full_name: Iacono, Luigi Lo
last_name: Iacono
- first_name: Dominik
full_name: Wermke, Dominik
last_name: Wermke
- first_name: Christian
full_name: Stransky, Christian
last_name: Stransky
- first_name: Sebastian
full_name: Möller, Sebastian
last_name: Möller
- first_name: Yasemin
full_name: Acar, Yasemin
id: '94636'
last_name: Acar
- first_name: Sascha
full_name: Fahl, Sascha
last_name: Fahl
citation:
ama: 'Gorski PL, Iacono LL, Wermke D, et al. Developers Deserve Security Warnings,
Too: On the Effect of Integrated Security Advice on Cryptographic API Misuse.
In: Zurko ME, Lipford HR, eds. Fourteenth Symposium on Usable Privacy and Security,
SOUPS 2018, Baltimore, MD, USA, August 12-14, 2018. USENIX Association; 2018:265–281.'
apa: 'Gorski, P. L., Iacono, L. L., Wermke, D., Stransky, C., Möller, S., Acar,
Y., & Fahl, S. (2018). Developers Deserve Security Warnings, Too: On the Effect
of Integrated Security Advice on Cryptographic API Misuse. In M. E. Zurko &
H. R. Lipford (Eds.), Fourteenth Symposium on Usable Privacy and Security,
SOUPS 2018, Baltimore, MD, USA, August 12-14, 2018 (pp. 265–281). USENIX Association.'
bibtex: '@inproceedings{Gorski_Iacono_Wermke_Stransky_Möller_Acar_Fahl_2018, title={Developers
Deserve Security Warnings, Too: On the Effect of Integrated Security Advice on
Cryptographic API Misuse}, booktitle={Fourteenth Symposium on Usable Privacy and
Security, SOUPS 2018, Baltimore, MD, USA, August 12-14, 2018}, publisher={USENIX
Association}, author={Gorski, Peter Leo and Iacono, Luigi Lo and Wermke, Dominik
and Stransky, Christian and Möller, Sebastian and Acar, Yasemin and Fahl, Sascha},
editor={Zurko, Mary Ellen and Lipford, Heather Richter}, year={2018}, pages={265–281}
}'
chicago: 'Gorski, Peter Leo, Luigi Lo Iacono, Dominik Wermke, Christian Stransky,
Sebastian Möller, Yasemin Acar, and Sascha Fahl. “Developers Deserve Security
Warnings, Too: On the Effect of Integrated Security Advice on Cryptographic API
Misuse.” In Fourteenth Symposium on Usable Privacy and Security, SOUPS 2018,
Baltimore, MD, USA, August 12-14, 2018, edited by Mary Ellen Zurko and Heather
Richter Lipford, 265–281. USENIX Association, 2018.'
ieee: 'P. L. Gorski et al., “Developers Deserve Security Warnings, Too: On
the Effect of Integrated Security Advice on Cryptographic API Misuse,” in Fourteenth
Symposium on Usable Privacy and Security, SOUPS 2018, Baltimore, MD, USA, August
12-14, 2018, 2018, pp. 265–281.'
mla: 'Gorski, Peter Leo, et al. “Developers Deserve Security Warnings, Too: On the
Effect of Integrated Security Advice on Cryptographic API Misuse.” Fourteenth
Symposium on Usable Privacy and Security, SOUPS 2018, Baltimore, MD, USA, August
12-14, 2018, edited by Mary Ellen Zurko and Heather Richter Lipford, USENIX
Association, 2018, pp. 265–281.'
short: 'P.L. Gorski, L.L. Iacono, D. Wermke, C. Stransky, S. Möller, Y. Acar, S.
Fahl, in: M.E. Zurko, H.R. Lipford (Eds.), Fourteenth Symposium on Usable Privacy
and Security, SOUPS 2018, Baltimore, MD, USA, August 12-14, 2018, USENIX Association,
2018, pp. 265–281.'
date_created: 2023-09-22T12:53:46Z
date_updated: 2024-06-05T13:20:00Z
department:
- _id: '34'
- _id: '858'
editor:
- first_name: Mary Ellen
full_name: Zurko, Mary Ellen
last_name: Zurko
- first_name: Heather Richter
full_name: Lipford, Heather Richter
last_name: Lipford
extern: '1'
language:
- iso: eng
page: 265–281
publication: Fourteenth Symposium on Usable Privacy and Security, SOUPS 2018, Baltimore,
MD, USA, August 12-14, 2018
publisher: USENIX Association
status: public
title: 'Developers Deserve Security Warnings, Too: On the Effect of Integrated Security
Advice on Cryptographic API Misuse'
type: conference
user_id: '14931'
year: '2018'
...
---
_id: '47254'
author:
- first_name: Marten
full_name: Oltrogge, Marten
last_name: Oltrogge
- first_name: Erik
full_name: Derr, Erik
last_name: Derr
- first_name: Christian
full_name: Stransky, Christian
last_name: Stransky
- first_name: Yasemin
full_name: Acar, Yasemin
id: '94636'
last_name: Acar
- first_name: Sascha
full_name: Fahl, Sascha
last_name: Fahl
- first_name: Christian
full_name: Rossow, Christian
last_name: Rossow
- first_name: Giancarlo
full_name: Pellegrino, Giancarlo
last_name: Pellegrino
- first_name: Sven
full_name: Bugiel, Sven
last_name: Bugiel
- first_name: Michael
full_name: Backes, Michael
last_name: Backes
citation:
ama: 'Oltrogge M, Derr E, Stransky C, et al. The Rise of the Citizen Developer:
Assessing the Security Impact of Online App Generators. In: 2018 IEEE Symposium
on Security and Privacy (SP). IEEE; 2018. doi:10.1109/sp.2018.00005'
apa: 'Oltrogge, M., Derr, E., Stransky, C., Acar, Y., Fahl, S., Rossow, C., Pellegrino,
G., Bugiel, S., & Backes, M. (2018). The Rise of the Citizen Developer: Assessing
the Security Impact of Online App Generators. 2018 IEEE Symposium on Security
and Privacy (SP). https://doi.org/10.1109/sp.2018.00005'
bibtex: '@inproceedings{Oltrogge_Derr_Stransky_Acar_Fahl_Rossow_Pellegrino_Bugiel_Backes_2018,
title={The Rise of the Citizen Developer: Assessing the Security Impact of Online
App Generators}, DOI={10.1109/sp.2018.00005},
booktitle={2018 IEEE Symposium on Security and Privacy (SP)}, publisher={IEEE},
author={Oltrogge, Marten and Derr, Erik and Stransky, Christian and Acar, Yasemin
and Fahl, Sascha and Rossow, Christian and Pellegrino, Giancarlo and Bugiel, Sven
and Backes, Michael}, year={2018} }'
chicago: 'Oltrogge, Marten, Erik Derr, Christian Stransky, Yasemin Acar, Sascha
Fahl, Christian Rossow, Giancarlo Pellegrino, Sven Bugiel, and Michael Backes.
“The Rise of the Citizen Developer: Assessing the Security Impact of Online App
Generators.” In 2018 IEEE Symposium on Security and Privacy (SP). IEEE,
2018. https://doi.org/10.1109/sp.2018.00005.'
ieee: 'M. Oltrogge et al., “The Rise of the Citizen Developer: Assessing
the Security Impact of Online App Generators,” 2018, doi: 10.1109/sp.2018.00005.'
mla: 'Oltrogge, Marten, et al. “The Rise of the Citizen Developer: Assessing the
Security Impact of Online App Generators.” 2018 IEEE Symposium on Security
and Privacy (SP), IEEE, 2018, doi:10.1109/sp.2018.00005.'
short: 'M. Oltrogge, E. Derr, C. Stransky, Y. Acar, S. Fahl, C. Rossow, G. Pellegrino,
S. Bugiel, M. Backes, in: 2018 IEEE Symposium on Security and Privacy (SP), IEEE,
2018.'
date_created: 2023-09-22T12:52:42Z
date_updated: 2024-06-05T13:19:28Z
department:
- _id: '34'
- _id: '858'
doi: 10.1109/sp.2018.00005
extern: '1'
language:
- iso: eng
publication: 2018 IEEE Symposium on Security and Privacy (SP)
publication_status: published
publisher: IEEE
status: public
title: 'The Rise of the Citizen Developer: Assessing the Security Impact of Online
App Generators'
type: conference
user_id: '14931'
year: '2018'
...
---
_id: '47252'
author:
- first_name: Dominik
full_name: Wermke, Dominik
last_name: Wermke
- first_name: Nicolas
full_name: Huaman, Nicolas
last_name: Huaman
- first_name: Yasemin
full_name: Acar, Yasemin
id: '94636'
last_name: Acar
- first_name: Bradley
full_name: Reaves, Bradley
last_name: Reaves
- first_name: Patrick
full_name: Traynor, Patrick
last_name: Traynor
- first_name: Sascha
full_name: Fahl, Sascha
last_name: Fahl
citation:
ama: 'Wermke D, Huaman N, Acar Y, Reaves B, Traynor P, Fahl S. A Large Scale Investigation
of Obfuscation Use in Google Play. In: Proceedings of the 34th Annual Computer
Security Applications Conference, ACSAC 2018, San Juan, PR, USA, December 03-07,
2018. ACM; 2018:222–235. doi:10.1145/3274694.3274726'
apa: Wermke, D., Huaman, N., Acar, Y., Reaves, B., Traynor, P., & Fahl, S. (2018).
A Large Scale Investigation of Obfuscation Use in Google Play. Proceedings
of the 34th Annual Computer Security Applications Conference, ACSAC 2018, San
Juan, PR, USA, December 03-07, 2018, 222–235. https://doi.org/10.1145/3274694.3274726
bibtex: '@inproceedings{Wermke_Huaman_Acar_Reaves_Traynor_Fahl_2018, title={A Large
Scale Investigation of Obfuscation Use in Google Play}, DOI={10.1145/3274694.3274726},
booktitle={Proceedings of the 34th Annual Computer Security Applications Conference,
ACSAC 2018, San Juan, PR, USA, December 03-07, 2018}, publisher={ACM}, author={Wermke,
Dominik and Huaman, Nicolas and Acar, Yasemin and Reaves, Bradley and Traynor,
Patrick and Fahl, Sascha}, year={2018}, pages={222–235} }'
chicago: Wermke, Dominik, Nicolas Huaman, Yasemin Acar, Bradley Reaves, Patrick
Traynor, and Sascha Fahl. “A Large Scale Investigation of Obfuscation Use in Google
Play.” In Proceedings of the 34th Annual Computer Security Applications Conference,
ACSAC 2018, San Juan, PR, USA, December 03-07, 2018, 222–235. ACM, 2018. https://doi.org/10.1145/3274694.3274726.
ieee: 'D. Wermke, N. Huaman, Y. Acar, B. Reaves, P. Traynor, and S. Fahl, “A Large
Scale Investigation of Obfuscation Use in Google Play,” in Proceedings of the
34th Annual Computer Security Applications Conference, ACSAC 2018, San Juan, PR,
USA, December 03-07, 2018, 2018, pp. 222–235, doi: 10.1145/3274694.3274726.'
mla: Wermke, Dominik, et al. “A Large Scale Investigation of Obfuscation Use in
Google Play.” Proceedings of the 34th Annual Computer Security Applications
Conference, ACSAC 2018, San Juan, PR, USA, December 03-07, 2018, ACM, 2018,
pp. 222–235, doi:10.1145/3274694.3274726.
short: 'D. Wermke, N. Huaman, Y. Acar, B. Reaves, P. Traynor, S. Fahl, in: Proceedings
of the 34th Annual Computer Security Applications Conference, ACSAC 2018, San
Juan, PR, USA, December 03-07, 2018, ACM, 2018, pp. 222–235.'
date_created: 2023-09-22T12:51:58Z
date_updated: 2024-06-05T13:20:17Z
department:
- _id: '34'
- _id: '858'
doi: 10.1145/3274694.3274726
extern: '1'
language:
- iso: eng
page: 222–235
publication: Proceedings of the 34th Annual Computer Security Applications Conference,
ACSAC 2018, San Juan, PR, USA, December 03-07, 2018
publisher: ACM
status: public
title: A Large Scale Investigation of Obfuscation Use in Google Play
type: conference
user_id: '14931'
year: '2018'
...
---
_id: '46348'
abstract:
- lang: eng
text: We analyze the effects of including local search techniques into a multi-objective
evolutionary algorithm for solving a bi-objective orienteering problem with a
single vehicle while the two conflicting objectives are minimization of travel
time and maximization of the number of visited customer locations. Experiments
are based on a large set of specifically designed problem instances with different
characteristics and it is shown that local search techniques focusing on one of
the objectives only improve the performance of the evolutionary algorithm in terms
of both objectives. The analysis also shows that local search techniques are capable
of sending locally optimal solutions to foremost fronts of the multi-objective
optimization process, and that these solutions then become the leading factors
of the evolutionary process.
author:
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Christian
full_name: Grimme, Christian
last_name: Grimme
- first_name: Stephan
full_name: Meisel, Stephan
last_name: Meisel
- first_name: Guenter
full_name: Rudolph, Guenter
last_name: Rudolph
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Bossek J, Grimme C, Meisel S, Rudolph G, Trautmann H. Local Search Effects
in Bi-Objective Orienteering. In: Proceedings of the Genetic and Evolutionary
Computation Conference. GECCO ’18. ACM; 2018:585–592. doi:10.1145/3205455.3205548'
apa: Bossek, J., Grimme, C., Meisel, S., Rudolph, G., & Trautmann, H. (2018).
Local Search Effects in Bi-Objective Orienteering. Proceedings of the Genetic
and Evolutionary Computation Conference, 585–592. https://doi.org/10.1145/3205455.3205548
bibtex: '@inproceedings{Bossek_Grimme_Meisel_Rudolph_Trautmann_2018, place={New
York, NY, USA}, series={GECCO ’18}, title={Local Search Effects in Bi-Objective
Orienteering}, DOI={10.1145/3205455.3205548},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference},
publisher={ACM}, author={Bossek, Jakob and Grimme, Christian and Meisel, Stephan
and Rudolph, Guenter and Trautmann, Heike}, year={2018}, pages={585–592}, collection={GECCO
’18} }'
chicago: 'Bossek, Jakob, Christian Grimme, Stephan Meisel, Guenter Rudolph, and
Heike Trautmann. “Local Search Effects in Bi-Objective Orienteering.” In Proceedings
of the Genetic and Evolutionary Computation Conference, 585–592. GECCO ’18.
New York, NY, USA: ACM, 2018. https://doi.org/10.1145/3205455.3205548.'
ieee: 'J. Bossek, C. Grimme, S. Meisel, G. Rudolph, and H. Trautmann, “Local Search
Effects in Bi-Objective Orienteering,” in Proceedings of the Genetic and Evolutionary
Computation Conference, 2018, pp. 585–592, doi: 10.1145/3205455.3205548.'
mla: Bossek, Jakob, et al. “Local Search Effects in Bi-Objective Orienteering.”
Proceedings of the Genetic and Evolutionary Computation Conference, ACM,
2018, pp. 585–592, doi:10.1145/3205455.3205548.
short: 'J. Bossek, C. Grimme, S. Meisel, G. Rudolph, H. Trautmann, in: Proceedings
of the Genetic and Evolutionary Computation Conference, ACM, New York, NY, USA,
2018, pp. 585–592.'
date_created: 2023-08-04T07:53:16Z
date_updated: 2024-06-10T11:59:09Z
department:
- _id: '34'
- _id: '819'
doi: 10.1145/3205455.3205548
language:
- iso: eng
page: 585–592
place: New York, NY, USA
publication: Proceedings of the Genetic and Evolutionary Computation Conference
publication_identifier:
isbn:
- 978-1-4503-5618-3
publisher: ACM
series_title: GECCO ’18
status: public
title: Local Search Effects in Bi-Objective Orienteering
type: conference
user_id: '15504'
year: '2018'
...
---
_id: '46352'
abstract:
- lang: eng
text: The Travelling Salesperson Problem (TSP) is one of the best-studied NP-hard
problems. Over the years, many different solution approaches and solvers have
been developed. For the first time, we directly compare five state-of-the-art
inexact solvers—namely, LKH, EAX, restart variants of those, and MAOS—on a large
set of well-known benchmark instances and demonstrate complementary performance,
in that different instances may be solved most effectively by different algorithms.
We leverage this complementarity to build an algorithm selector, which selects
the best TSP solver on a per-instance basis and thus achieves significantly improved
performance compared to the single best solver, representing an advance in the
state of the art in solving the Euclidean TSP. Our in-depth analysis of the selectors
provides insight into what drives this performance improvement.
author:
- first_name: Pascal
full_name: Kerschke, Pascal
last_name: Kerschke
- first_name: Lars
full_name: Kotthoff, Lars
last_name: Kotthoff
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Holger H.
full_name: Hoos, Holger H.
last_name: Hoos
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: Kerschke P, Kotthoff L, Bossek J, Hoos HH, Trautmann H. Leveraging TSP Solver
Complementarity through Machine Learning. Evolutionary Computation (ECJ).
2018;26(4):597–620. doi:10.1162/evco_a_00215
apa: Kerschke, P., Kotthoff, L., Bossek, J., Hoos, H. H., & Trautmann, H. (2018).
Leveraging TSP Solver Complementarity through Machine Learning. Evolutionary
Computation (ECJ), 26(4), 597–620. https://doi.org/10.1162/evco_a_00215
bibtex: '@article{Kerschke_Kotthoff_Bossek_Hoos_Trautmann_2018, title={Leveraging
TSP Solver Complementarity through Machine Learning}, volume={26}, DOI={10.1162/evco_a_00215},
number={4}, journal={Evolutionary Computation (ECJ)}, author={Kerschke, Pascal
and Kotthoff, Lars and Bossek, Jakob and Hoos, Holger H. and Trautmann, Heike},
year={2018}, pages={597–620} }'
chicago: 'Kerschke, Pascal, Lars Kotthoff, Jakob Bossek, Holger H. Hoos, and Heike
Trautmann. “Leveraging TSP Solver Complementarity through Machine Learning.” Evolutionary
Computation (ECJ) 26, no. 4 (2018): 597–620. https://doi.org/10.1162/evco_a_00215.'
ieee: 'P. Kerschke, L. Kotthoff, J. Bossek, H. H. Hoos, and H. Trautmann, “Leveraging
TSP Solver Complementarity through Machine Learning,” Evolutionary Computation
(ECJ), vol. 26, no. 4, pp. 597–620, 2018, doi: 10.1162/evco_a_00215.'
mla: Kerschke, Pascal, et al. “Leveraging TSP Solver Complementarity through Machine
Learning.” Evolutionary Computation (ECJ), vol. 26, no. 4, 2018, pp. 597–620,
doi:10.1162/evco_a_00215.
short: P. Kerschke, L. Kotthoff, J. Bossek, H.H. Hoos, H. Trautmann, Evolutionary
Computation (ECJ) 26 (2018) 597–620.
date_created: 2023-08-04T07:56:15Z
date_updated: 2024-06-10T11:58:38Z
department:
- _id: '34'
- _id: '819'
doi: 10.1162/evco_a_00215
intvolume: ' 26'
issue: '4'
language:
- iso: eng
page: 597–620
publication: Evolutionary Computation (ECJ)
status: public
title: Leveraging TSP Solver Complementarity through Machine Learning
type: journal_article
user_id: '15504'
volume: 26
year: '2018'
...
---
_id: '46349'
abstract:
- lang: eng
text: Performance comparisons of optimization algorithms are heavily influenced
by the underlying indicator(s). In this paper we investigate commonly used performance
indicators for single-objective stochastic solvers, such as the Penalized Average
Runtime (e.g., PAR10) or the Expected Running Time (ERT), based on exemplary benchmark
performances of state-of-the-art inexact TSP solvers. Thereby, we introduce a
methodology for analyzing the effects of (usually heuristically set) indicator
parametrizations - such as the penalty factor and the method used for aggregating
across multiple runs - w.r.t. the robustness of the considered optimization algorithms.
author:
- first_name: Pascal
full_name: Kerschke, Pascal
last_name: Kerschke
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Kerschke P, Bossek J, Trautmann H. Parameterization of State-of-the-Art Performance
Indicators: A Robustness Study Based on Inexact TSP Solvers. In: Proceedings
of the Genetic and Evolutionary Computation Conference (GECCO ’18) Companion.
; 2018:1737–1744. doi:10.1145/3205651.3208233'
apa: 'Kerschke, P., Bossek, J., & Trautmann, H. (2018). Parameterization of
State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP
Solvers. Proceedings of the Genetic and Evolutionary Computation Conference
(GECCO ’18) Companion, 1737–1744. https://doi.org/10.1145/3205651.3208233'
bibtex: '@inproceedings{Kerschke_Bossek_Trautmann_2018, place={Kyoto, Japan}, title={Parameterization
of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact
TSP Solvers}, DOI={10.1145/3205651.3208233},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference
(GECCO ’18) Companion}, author={Kerschke, Pascal and Bossek, Jakob and Trautmann,
Heike}, year={2018}, pages={1737–1744} }'
chicago: 'Kerschke, Pascal, Jakob Bossek, and Heike Trautmann. “Parameterization
of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact
TSP Solvers.” In Proceedings of the Genetic and Evolutionary Computation Conference
(GECCO ’18) Companion, 1737–1744. Kyoto, Japan, 2018. https://doi.org/10.1145/3205651.3208233.'
ieee: 'P. Kerschke, J. Bossek, and H. Trautmann, “Parameterization of State-of-the-Art
Performance Indicators: A Robustness Study Based on Inexact TSP Solvers,” in Proceedings
of the Genetic and Evolutionary Computation Conference (GECCO ’18) Companion,
2018, pp. 1737–1744, doi: 10.1145/3205651.3208233.'
mla: 'Kerschke, Pascal, et al. “Parameterization of State-of-the-Art Performance
Indicators: A Robustness Study Based on Inexact TSP Solvers.” Proceedings of
the Genetic and Evolutionary Computation Conference (GECCO ’18) Companion,
2018, pp. 1737–1744, doi:10.1145/3205651.3208233.'
short: 'P. Kerschke, J. Bossek, H. Trautmann, in: Proceedings of the Genetic and
Evolutionary Computation Conference (GECCO ’18) Companion, Kyoto, Japan, 2018,
pp. 1737–1744.'
date_created: 2023-08-04T07:53:59Z
date_updated: 2024-06-10T11:58:54Z
department:
- _id: '34'
- _id: '819'
doi: 10.1145/3205651.3208233
language:
- iso: eng
page: 1737–1744
place: Kyoto, Japan
publication: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO
’18) Companion
publication_identifier:
isbn:
- 978-1-4503-5764-7/18/07
status: public
title: 'Parameterization of State-of-the-Art Performance Indicators: A Robustness
Study Based on Inexact TSP Solvers'
type: conference
user_id: '15504'
year: '2018'
...