---
_id: '45587'
article_number: '102729'
author:
- first_name: Wolfgang
full_name: Habla, Wolfgang
last_name: Habla
- first_name: Vera
full_name: Huwe, Vera
last_name: Huwe
- first_name: Martin
full_name: Kesternich, Martin
id: '98922'
last_name: Kesternich
citation:
ama: 'Habla W, Huwe V, Kesternich M. Electric and conventional vehicle usage in
private and car sharing fleets in Germany. Transportation Research Part D:
Transport and Environment. 2021;93. doi:10.1016/j.trd.2021.102729'
apa: 'Habla, W., Huwe, V., & Kesternich, M. (2021). Electric and conventional
vehicle usage in private and car sharing fleets in Germany. Transportation
Research Part D: Transport and Environment, 93, Article 102729. https://doi.org/10.1016/j.trd.2021.102729'
bibtex: '@article{Habla_Huwe_Kesternich_2021, title={Electric and conventional vehicle
usage in private and car sharing fleets in Germany}, volume={93}, DOI={10.1016/j.trd.2021.102729},
number={102729}, journal={Transportation Research Part D: Transport and Environment},
publisher={Elsevier BV}, author={Habla, Wolfgang and Huwe, Vera and Kesternich,
Martin}, year={2021} }'
chicago: 'Habla, Wolfgang, Vera Huwe, and Martin Kesternich. “Electric and Conventional
Vehicle Usage in Private and Car Sharing Fleets in Germany.” Transportation
Research Part D: Transport and Environment 93 (2021). https://doi.org/10.1016/j.trd.2021.102729.'
ieee: 'W. Habla, V. Huwe, and M. Kesternich, “Electric and conventional vehicle
usage in private and car sharing fleets in Germany,” Transportation Research
Part D: Transport and Environment, vol. 93, Art. no. 102729, 2021, doi: 10.1016/j.trd.2021.102729.'
mla: 'Habla, Wolfgang, et al. “Electric and Conventional Vehicle Usage in Private
and Car Sharing Fleets in Germany.” Transportation Research Part D: Transport
and Environment, vol. 93, 102729, Elsevier BV, 2021, doi:10.1016/j.trd.2021.102729.'
short: 'W. Habla, V. Huwe, M. Kesternich, Transportation Research Part D: Transport
and Environment 93 (2021).'
date_created: 2023-06-13T09:31:39Z
date_updated: 2023-09-15T06:38:41Z
doi: 10.1016/j.trd.2021.102729
intvolume: ' 93'
keyword:
- General Environmental Science
- Transportation
- Civil and Structural Engineering
language:
- iso: eng
publication: 'Transportation Research Part D: Transport and Environment'
publication_identifier:
issn:
- 1361-9209
publication_status: published
publisher: Elsevier BV
status: public
title: Electric and conventional vehicle usage in private and car sharing fleets in
Germany
type: journal_article
user_id: '98922'
volume: 93
year: '2021'
...
---
_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: '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: '2856'
abstract:
- lang: eng
text: Taxi ridesharing1 (TRS) is an advanced form of urban transportation that matches
separate ride requests with similar spatio-temporal characteristics to a jointly
used taxi. As collaborative consumption, TRS saves customers money, enables taxi
companies to economize use of their resources, and lowers greenhouse gas emissions.
We develop a one-to-one TRS approach that matches rides with similar start and
end points. We evaluate our approach by analyzing an open dataset of > 5 million
taxi trajectories in New York City. Our empirical analysis reveals that the proposed
approach matches up to 48.34% of all taxi rides, saving 2,892,036 km of travel
distance, 231,362.89 l of gas, and 532,134.64 kg of CO2 emissions per week. Compared
to many-to-many TRS approaches, our approach is competitive, simpler to implement
and operate, and poses less rigid assumptions on data availability and customer
acceptance.
article_type: original
author:
- first_name: Benjamin
full_name: Barann, Benjamin
last_name: Barann
- first_name: Daniel
full_name: Beverungen, Daniel
id: '59677'
last_name: Beverungen
- first_name: Oliver
full_name: Müller, Oliver
id: '72849'
last_name: Müller
citation:
ama: Barann B, Beverungen D, Müller O. An open-data approach for quantifying the
potential of taxi ridesharing. Decision Support Systems. 2017;99(July 2017):86-95.
doi:10.1016/j.dss.2017.05.008
apa: Barann, B., Beverungen, D., & Müller, O. (2017). An open-data approach
for quantifying the potential of taxi ridesharing. Decision Support Systems,
99(July 2017), 86–95. https://doi.org/10.1016/j.dss.2017.05.008
bibtex: '@article{Barann_Beverungen_Müller_2017, title={An open-data approach for
quantifying the potential of taxi ridesharing}, volume={99}, DOI={10.1016/j.dss.2017.05.008},
number={July 2017}, journal={Decision Support Systems}, publisher={Elsevier},
author={Barann, Benjamin and Beverungen, Daniel and Müller, Oliver}, year={2017},
pages={86–95} }'
chicago: 'Barann, Benjamin, Daniel Beverungen, and Oliver Müller. “An Open-Data
Approach for Quantifying the Potential of Taxi Ridesharing.” Decision Support
Systems 99, no. July 2017 (2017): 86–95. https://doi.org/10.1016/j.dss.2017.05.008.'
ieee: 'B. Barann, D. Beverungen, and O. Müller, “An open-data approach for quantifying
the potential of taxi ridesharing,” Decision Support Systems, vol. 99,
no. July 2017, pp. 86–95, 2017, doi: 10.1016/j.dss.2017.05.008.'
mla: Barann, Benjamin, et al. “An Open-Data Approach for Quantifying the Potential
of Taxi Ridesharing.” Decision Support Systems, vol. 99, no. July 2017,
Elsevier, 2017, pp. 86–95, doi:10.1016/j.dss.2017.05.008.
short: B. Barann, D. Beverungen, O. Müller, Decision Support Systems 99 (2017) 86–95.
date_created: 2018-05-24T08:48:58Z
date_updated: 2024-04-18T12:59:57Z
department:
- _id: '526'
doi: 10.1016/j.dss.2017.05.008
intvolume: ' 99'
issue: July 2017
keyword:
- Taxi ridesharing Collaborative consumption Transportation Open data Sustainability
Shared mobility
language:
- iso: eng
page: 86-95
publication: Decision Support Systems
publication_status: published
publisher: Elsevier
quality_controlled: '1'
status: public
title: An open-data approach for quantifying the potential of taxi ridesharing
type: journal_article
user_id: '59677'
volume: 99
year: '2017'
...
---
_id: '40493'
abstract:
- lang: eng
text: ' The United Nations Conference on the Law of the Sea was an arena
in which global resource equity was negotiated in a process that extended beyond
the governmental actors who took centre stage. But our perceptions of the role
of an increasingly civil society in framing national decision-making processes
during the 1970s – for instance, through trade associations or nongovernmental
organizations – is blurred. Both civil society and economic actors crafted similar
policies, though for different purposes: some – with regard to the north–south
divide – focused on the conservation of the ocean’s resources over the long term,
whereas others were more concerned with short-term economic benefits. This article
asks which arguments legitimized property and usage rights, and which resource
narratives were used. By taking into account the charged relationship of local–national–global
reaches, it also examines perceptions and management of resources in the context
of resource equity on a global scale. '
author:
- first_name: Johanna
full_name: Sackel, Johanna
id: '8029'
last_name: Sackel
citation:
ama: 'Sackel J. Food justice, common heritage and the oceans: Resource narratives
in the context of the Third United Nations Conference on the Law of the Sea. International
Journal of Maritime History. 2017;29(3):645-659. doi:10.1177/0843871417713682'
apa: 'Sackel, J. (2017). Food justice, common heritage and the oceans: Resource
narratives in the context of the Third United Nations Conference on the Law of
the Sea. International Journal of Maritime History, 29(3), 645–659.
https://doi.org/10.1177/0843871417713682'
bibtex: '@article{Sackel_2017, title={Food justice, common heritage and the oceans:
Resource narratives in the context of the Third United Nations Conference on the
Law of the Sea}, volume={29}, DOI={10.1177/0843871417713682},
number={3}, journal={International Journal of Maritime History}, publisher={SAGE
Publications}, author={Sackel, Johanna}, year={2017}, pages={645–659} }'
chicago: 'Sackel, Johanna. “Food Justice, Common Heritage and the Oceans: Resource
Narratives in the Context of the Third United Nations Conference on the Law of
the Sea.” International Journal of Maritime History 29, no. 3 (2017): 645–59.
https://doi.org/10.1177/0843871417713682.'
ieee: 'J. Sackel, “Food justice, common heritage and the oceans: Resource narratives
in the context of the Third United Nations Conference on the Law of the Sea,”
International Journal of Maritime History, vol. 29, no. 3, pp. 645–659,
2017, doi: 10.1177/0843871417713682.'
mla: 'Sackel, Johanna. “Food Justice, Common Heritage and the Oceans: Resource Narratives
in the Context of the Third United Nations Conference on the Law of the Sea.”
International Journal of Maritime History, vol. 29, no. 3, SAGE Publications,
2017, pp. 645–59, doi:10.1177/0843871417713682.'
short: J. Sackel, International Journal of Maritime History 29 (2017) 645–659.
date_created: 2023-01-27T10:55:57Z
date_updated: 2023-01-31T12:57:06Z
department:
- _id: '6'
- _id: '514'
doi: 10.1177/0843871417713682
intvolume: ' 29'
issue: '3'
keyword:
- Transportation
- History
language:
- iso: eng
page: 645-659
publication: International Journal of Maritime History
publication_identifier:
issn:
- 0843-8714
- 2052-7756
publication_status: published
publisher: SAGE Publications
status: public
title: 'Food justice, common heritage and the oceans: Resource narratives in the context
of the Third United Nations Conference on the Law of the Sea'
type: journal_article
user_id: '14931'
volume: 29
year: '2017'
...
---
_id: '48874'
abstract:
- lang: eng
text: State of the Art inexact solvers of the NP-hard Traveling Salesperson Problem
TSP are known to mostly yield high-quality solutions in reasonable computation
times. With the purpose of understanding different levels of instance difficulties,
instances for the current State of the Art heuristic TSP solvers LKH+restart and
EAX+restart are presented which are evolved using a sophisticated evolutionary
algorithm. More specifically, the performance differences of the respective solvers
are maximized resulting in instances which are easier to solve for one solver
and much more difficult for the other. Focusing on both optimization directions,
instance features are identified which characterize both types of instances and
increase the understanding of solver performance differences.
author:
- 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: 'Bossek J, Trautmann H. Understanding Characteristics of Evolved Instances
for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference.
In: Proceedings of the XV International Conference of the Italian Association
for Artificial Intelligence on Advances in Artificial Intelligence - Volume 10037.
AI*IA 2016. Springer-Verlag; 2016:3–12. doi:10.1007/978-3-319-49130-1_1'
apa: Bossek, J., & Trautmann, H. (2016). Understanding Characteristics of Evolved
Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference.
Proceedings of the XV International Conference of the Italian Association for
Artificial Intelligence on Advances in Artificial Intelligence - Volume 10037,
3–12. https://doi.org/10.1007/978-3-319-49130-1_1
bibtex: '@inproceedings{Bossek_Trautmann_2016, place={Berlin, Heidelberg}, series={AI*IA
2016}, title={Understanding Characteristics of Evolved Instances for State-of-the-Art
Inexact TSP Solvers with Maximum Performance Difference}, DOI={10.1007/978-3-319-49130-1_1},
booktitle={Proceedings of the XV International Conference of the Italian Association
for Artificial Intelligence on Advances in Artificial Intelligence - Volume 10037},
publisher={Springer-Verlag}, author={Bossek, Jakob and Trautmann, Heike}, year={2016},
pages={3–12}, collection={AI*IA 2016} }'
chicago: 'Bossek, Jakob, and Heike Trautmann. “Understanding Characteristics of
Evolved Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance
Difference.” In Proceedings of the XV International Conference of the Italian
Association for Artificial Intelligence on Advances in Artificial Intelligence
- Volume 10037, 3–12. AI*IA 2016. Berlin, Heidelberg: Springer-Verlag, 2016.
https://doi.org/10.1007/978-3-319-49130-1_1.'
ieee: 'J. Bossek and H. Trautmann, “Understanding Characteristics of Evolved Instances
for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference,”
in Proceedings of the XV International Conference of the Italian Association
for Artificial Intelligence on Advances in Artificial Intelligence - Volume 10037,
2016, pp. 3–12, doi: 10.1007/978-3-319-49130-1_1.'
mla: Bossek, Jakob, and Heike Trautmann. “Understanding Characteristics of Evolved
Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference.”
Proceedings of the XV International Conference of the Italian Association for
Artificial Intelligence on Advances in Artificial Intelligence - Volume 10037,
Springer-Verlag, 2016, pp. 3–12, doi:10.1007/978-3-319-49130-1_1.
short: 'J. Bossek, H. Trautmann, in: Proceedings of the XV International Conference
of the Italian Association for Artificial Intelligence on Advances in Artificial
Intelligence - Volume 10037, Springer-Verlag, Berlin, Heidelberg, 2016, pp. 3–12.'
date_created: 2023-11-14T15:58:57Z
date_updated: 2023-12-13T10:47:11Z
doi: 10.1007/978-3-319-49130-1_1
extern: '1'
keyword:
- Combinatorial optimization
- Instance hardness
- Metaheuristics
- Transportation
- TSP
language:
- iso: eng
page: 3–12
place: Berlin, Heidelberg
publication: Proceedings of the XV International Conference of the Italian Association
for Artificial Intelligence on Advances in Artificial Intelligence - Volume 10037
publication_identifier:
isbn:
- 978-3-319-49129-5
publication_status: published
publisher: Springer-Verlag
series_title: AI*IA 2016
status: public
title: Understanding Characteristics of Evolved Instances for State-of-the-Art Inexact
TSP Solvers with Maximum Performance Difference
type: conference
user_id: '102979'
year: '2016'
...
---
_id: '48887'
abstract:
- lang: eng
text: 'We evaluate the performance of a multi-objective evolutionary algorithm on
a class of dynamic routing problems with a single vehicle. In particular we focus
on relating algorithmic performance to the most prominent characteristics of problem
instances. The routing problem considers two types of customers: mandatory customers
must be visited whereas optional customers do not necessarily have to be visited.
Moreover, mandatory customers are known prior to the start of the tour whereas
optional customers request for service at later points in time with the vehicle
already being on its way. The multi-objective optimization problem then results
as maximizing the number of visited customers while simultaneously minimizing
total travel time. As an a-posteriori evaluation tool, the evolutionary algorithm
aims at approximating the related Pareto set for specifically designed benchmarking
instances differing in terms of number of customers, geographical layout, fraction
of mandatory customers, and request times of optional customers. Conceptional
and experimental comparisons to online heuristic procedures are provided.'
author:
- first_name: Stephan
full_name: Meisel, Stephan
last_name: Meisel
- 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
- first_name: Martin
full_name: Wölck, Martin
last_name: Wölck
- first_name: Günter
full_name: Rudolph, Günter
last_name: Rudolph
- first_name: Heike
full_name: Trautmann, Heike
last_name: Trautmann
citation:
ama: 'Meisel S, Grimme C, Bossek J, Wölck M, Rudolph G, Trautmann H. Evaluation
of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle.
In: Proceedings of the Genetic and Evolutionary Computation Conference .
GECCO’15. Association for Computing Machinery; 2015:425–432. doi:10.1145/2739480.2754705'
apa: Meisel, S., Grimme, C., Bossek, J., Wölck, M., Rudolph, G., & Trautmann,
H. (2015). Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic
Routing of a Vehicle. Proceedings of the Genetic and Evolutionary Computation
Conference , 425–432. https://doi.org/10.1145/2739480.2754705
bibtex: '@inproceedings{Meisel_Grimme_Bossek_Wölck_Rudolph_Trautmann_2015, place={New
York, NY, USA}, series={GECCO’15}, title={Evaluation of a Multi-Objective EA on
Benchmark Instances for Dynamic Routing of a Vehicle}, DOI={10.1145/2739480.2754705},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference
}, publisher={Association for Computing Machinery}, author={Meisel, Stephan and
Grimme, Christian and Bossek, Jakob and Wölck, Martin and Rudolph, Günter and
Trautmann, Heike}, year={2015}, pages={425–432}, collection={GECCO’15} }'
chicago: 'Meisel, Stephan, Christian Grimme, Jakob Bossek, Martin Wölck, Günter
Rudolph, and Heike Trautmann. “Evaluation of a Multi-Objective EA on Benchmark
Instances for Dynamic Routing of a Vehicle.” In Proceedings of the Genetic
and Evolutionary Computation Conference , 425–432. GECCO’15. New York, NY,
USA: Association for Computing Machinery, 2015. https://doi.org/10.1145/2739480.2754705.'
ieee: 'S. Meisel, C. Grimme, J. Bossek, M. Wölck, G. Rudolph, and H. Trautmann,
“Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing
of a Vehicle,” in Proceedings of the Genetic and Evolutionary Computation Conference
, 2015, pp. 425–432, doi: 10.1145/2739480.2754705.'
mla: Meisel, Stephan, et al. “Evaluation of a Multi-Objective EA on Benchmark Instances
for Dynamic Routing of a Vehicle.” Proceedings of the Genetic and Evolutionary
Computation Conference , Association for Computing Machinery, 2015, pp. 425–432,
doi:10.1145/2739480.2754705.
short: 'S. Meisel, C. Grimme, J. Bossek, M. Wölck, G. Rudolph, H. Trautmann, in:
Proceedings of the Genetic and Evolutionary Computation Conference , Association
for Computing Machinery, New York, NY, USA, 2015, pp. 425–432.'
date_created: 2023-11-14T15:58:59Z
date_updated: 2023-12-13T10:49:06Z
department:
- _id: '819'
doi: 10.1145/2739480.2754705
extern: '1'
keyword:
- combinatorial optimization
- metaheuristics
- multi-objective optimization
- online algorithms
- transportation
language:
- iso: eng
page: 425–432
place: New York, NY, USA
publication: 'Proceedings of the Genetic and Evolutionary Computation Conference '
publication_identifier:
isbn:
- 978-1-4503-3472-3
publisher: Association for Computing Machinery
series_title: GECCO’15
status: public
title: Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing
of a Vehicle
type: conference
user_id: '102979'
year: '2015'
...