---
_id: '61445'
abstract:
- lang: eng
text: ABSTRACT In recent years, there has been an increasing awareness of the importance
of incorporating diversity into research projects, focusing on both how they are
conducted and their content. Funding organizations have started to require that
research applicants pay attention to inclusion and diversity by considering gender
dimensions and other diversity factors in their project plans and ensuring gender
equality during execution. Based on an extensive literature research and expert
discussions on how to develop and implement diversity strategies in large collaborative
research projects, we argue that there is a lack of practical advice in existing
literature. Drawing from our own experiences in conceptualizing and implementing
a Diversity Program across four universities in Germany, we propose a framework
for effectively integrating diversity into collaborative research initiatives
across various academic fields.
author:
- first_name: Mariya
full_name: Lorke, Mariya
last_name: Lorke
- first_name: Rena
full_name: Amelung, Rena
last_name: Amelung
- first_name: Peter
full_name: Kuchling, Peter
last_name: Kuchling
- first_name: Benjamin
full_name: Paaßen, Benjamin
last_name: Paaßen
- first_name: Miriam
full_name: Pein-Hackelbusch, Miriam
last_name: Pein-Hackelbusch
- first_name: Franziska Margarete
full_name: Schloots, Franziska Margarete
id: '33185'
last_name: Schloots
orcid: 0009-0008-9673-2615
- first_name: Klara
full_name: Schulz, Klara
last_name: Schulz
- first_name: Annette
full_name: Nauerth, Annette
last_name: Nauerth
citation:
ama: 'Lorke M, Amelung R, Kuchling P, et al. Development and Implementation of Diversity
Programs in Large Collaborative Research Projects: An Example From Germany. Diversity
& Inclusion Research. 2025;2(4):e70040. doi:https://doi.org/10.1002/dvr2.70040'
apa: 'Lorke, M., Amelung, R., Kuchling, P., Paaßen, B., Pein-Hackelbusch, M., Schloots,
F. M., Schulz, K., & Nauerth, A. (2025). Development and Implementation of
Diversity Programs in Large Collaborative Research Projects: An Example From Germany.
Diversity & Inclusion Research, 2(4), e70040. https://doi.org/10.1002/dvr2.70040'
bibtex: '@article{Lorke_Amelung_Kuchling_Paaßen_Pein-Hackelbusch_Schloots_Schulz_Nauerth_2025,
title={Development and Implementation of Diversity Programs in Large Collaborative
Research Projects: An Example From Germany}, volume={2}, DOI={https://doi.org/10.1002/dvr2.70040},
number={4}, journal={Diversity & Inclusion Research}, author={Lorke, Mariya
and Amelung, Rena and Kuchling, Peter and Paaßen, Benjamin and Pein-Hackelbusch,
Miriam and Schloots, Franziska Margarete and Schulz, Klara and Nauerth, Annette},
year={2025}, pages={e70040} }'
chicago: 'Lorke, Mariya, Rena Amelung, Peter Kuchling, Benjamin Paaßen, Miriam Pein-Hackelbusch,
Franziska Margarete Schloots, Klara Schulz, and Annette Nauerth. “Development
and Implementation of Diversity Programs in Large Collaborative Research Projects:
An Example From Germany.” Diversity & Inclusion Research 2, no. 4 (2025):
e70040. https://doi.org/10.1002/dvr2.70040.'
ieee: 'M. Lorke et al., “Development and Implementation of Diversity Programs
in Large Collaborative Research Projects: An Example From Germany,” Diversity
& Inclusion Research, vol. 2, no. 4, p. e70040, 2025, doi: https://doi.org/10.1002/dvr2.70040.'
mla: 'Lorke, Mariya, et al. “Development and Implementation of Diversity Programs
in Large Collaborative Research Projects: An Example From Germany.” Diversity
& Inclusion Research, vol. 2, no. 4, 2025, p. e70040, doi:https://doi.org/10.1002/dvr2.70040.'
short: M. Lorke, R. Amelung, P. Kuchling, B. Paaßen, M. Pein-Hackelbusch, F.M. Schloots,
K. Schulz, A. Nauerth, Diversity & Inclusion Research 2 (2025) e70040.
date_created: 2025-09-26T07:54:16Z
date_updated: 2025-09-26T07:55:21Z
department:
- _id: '574'
doi: https://doi.org/10.1002/dvr2.70040
intvolume: ' 2'
issue: '4'
keyword:
- collaborative research projects
- diversity strategy
- gender equality
language:
- iso: eng
page: e70040
publication: Diversity & Inclusion Research
publication_status: published
status: public
title: 'Development and Implementation of Diversity Programs in Large Collaborative
Research Projects: An Example From Germany'
type: journal_article
user_id: '33185'
volume: 2
year: '2025'
...
---
_id: '62818'
author:
- first_name: Sabine
full_name: Radtke, Sabine
id: '58342'
last_name: Radtke
citation:
ama: 'Radtke S. Ethical dilemmas in coaching: Diversity and inclusion and the role
of the coach. Belalcazar C, ed. 2025;12(S1):S4. doi:https://doi.org/10.1123/iscj.2025-0112'
apa: 'Radtke, S. (2025). Ethical dilemmas in coaching: Diversity and inclusion
and the role of the coach (C. Belalcazar, Ed.; Vol. 12, Issue S1, p. S4).
Human Kinetics. https://doi.org/10.1123/iscj.2025-0112'
bibtex: '@article{Radtke_2025, place={Athens}, series={International Sport Coaching
Journal}, title={Ethical dilemmas in coaching: Diversity and inclusion and the
role of the coach}, volume={12}, DOI={https://doi.org/10.1123/iscj.2025-0112},
number={S1}, publisher={Human Kinetics}, author={Radtke, Sabine}, editor={Belalcazar,
Catalina}, year={2025}, pages={S4}, collection={International Sport Coaching Journal}
}'
chicago: 'Radtke, Sabine. “Ethical Dilemmas in Coaching: Diversity and Inclusion
and the Role of the Coach.” Edited by Catalina Belalcazar. International Sport
Coaching Journal. Athens: Human Kinetics, 2025. https://doi.org/10.1123/iscj.2025-0112.'
ieee: 'S. Radtke, “Ethical dilemmas in coaching: Diversity and inclusion and the
role of the coach,” vol. 12, no. S1. Human Kinetics, Athens, p. S4, 2025, doi:
https://doi.org/10.1123/iscj.2025-0112.'
mla: 'Radtke, Sabine. Ethical Dilemmas in Coaching: Diversity and Inclusion and
the Role of the Coach. Edited by Catalina Belalcazar, vol. 12, no. S1, Human
Kinetics, 2025, p. S4, doi:https://doi.org/10.1123/iscj.2025-0112.'
short: S. Radtke, 12 (2025) S4.
conference:
end_date: 2025-11-23
location: Athens
name: ' 15th Global Coach Conference'
start_date: 2025-11-20
date_created: 2025-12-03T17:24:37Z
date_updated: 2025-12-03T17:25:32Z
department:
- _id: '17'
doi: https://doi.org/10.1123/iscj.2025-0112
editor:
- first_name: Catalina
full_name: Belalcazar, Catalina
last_name: Belalcazar
intvolume: ' 12'
issue: S1
jel:
- Y
keyword:
- Sports Coaching
- Diversity
- Intersectionality
language:
- iso: eng
page: S4
place: Athens
publication_status: published
publisher: Human Kinetics
quality_controlled: '1'
series_title: International Sport Coaching Journal
status: public
title: 'Ethical dilemmas in coaching: Diversity and inclusion and the role of the
coach'
type: conference_abstract
user_id: '58342'
volume: 12
year: '2025'
...
---
_id: '65163'
abstract:
- lang: ger
text: "Dieser Beitrag untersucht aktuelle pädagogische und hermeneutische Ansätze
der\r\njüdischen, christlichen und muslimischen Religionspädagogik in Kindertora,
Kinderbibel\r\nund Kinderkoran. Er betont die Notwendigkeit für Lehrkräfte, sich
mit den spezifischen\r\npädagogischen und hermeneutischen Ansätzen der drei monotheistischen
Religionen\r\nvertraut zu machen, um die didaktischen Heiligen Schriften im Unterricht
angemessen\r\nnutzen zu können. Beispiele aus dem aktuellen Religionsunterricht
zeigen\r\nMissverständnisse und Überraschungen auf, die durch unzureichendes Wissen
entstehen.\r\nDer Artikel hebt die Bedeutung einer jüdischen Identitätsbildung,
einer christlichen\r\ndiversitätssensiblen Perspektive und von muslimischen normativen
Diskursen in den\r\nverschiedenen Religionspädagogiken hervor und diskutiert die
Herausforderungen und\r\nChancen, die mit der Nutzung didaktisierter Heiliger
Schriften verbunden sind.\r\n"
- lang: eng
text: "This article examines current pedagogical and hermeneutical approaches to
Jewish,\r\nChristian and Muslim religious education in the Children’s Torah, Children’s
Bible and\r\nChildren’s Quran. It emphasizes the need for teachers to familiarize
themselves with the\r\nspecific pedagogical and hermeneutical approaches of the
three monotheistic religions in\r\norder to be able to use the didactic Holy Scriptures
appropriately in the classroom.\r\nExamples from current religious education lessons
show misunderstandings and\r\nsurprises that arise due to insufficient knowledge.
The article emphasizes the importance\r\nof Jewish identity formation, a Christian
diversity-sensitive perspective and Muslim\r\nnormative discourses in the various
religious pedagogies and discusses the challenges\r\nand opportunities associated
with the use of didactic Holy Scriptures.\r\n"
article_type: original
author:
- first_name: Marion
full_name: Keuchen, Marion
id: '251'
last_name: Keuchen
orcid: https://orcid.org/0009-0000-9904-6479
citation:
ama: 'Keuchen M. Aktuelle pädagogische und hermeneutische Ansätze aus Judentum,
Christentum und Islam in Kindertora, Kinderbibel und Kinderkoran: Identitätsbildung,
diversitätssensible Religionspädagogik und normative Diskurse. TheoWeb Zeitschrift
für Religionspädagogik. 2024;2:224-237. doi:10.23770/tw0360'
apa: 'Keuchen, M. (2024). Aktuelle pädagogische und hermeneutische Ansätze aus Judentum,
Christentum und Islam in Kindertora, Kinderbibel und Kinderkoran: Identitätsbildung,
diversitätssensible Religionspädagogik und normative Diskurse. TheoWeb. Zeitschrift
für Religionspädagogik, 2, 224–237. https://doi.org/10.23770/tw0360'
bibtex: '@article{Keuchen_2024, title={Aktuelle pädagogische und hermeneutische
Ansätze aus Judentum, Christentum und Islam in Kindertora, Kinderbibel und Kinderkoran:
Identitätsbildung, diversitätssensible Religionspädagogik und normative Diskurse},
volume={2}, DOI={10.23770/tw0360},
journal={TheoWeb. Zeitschrift für Religionspädagogik}, author={Keuchen, Marion},
year={2024}, pages={224–237} }'
chicago: 'Keuchen, Marion. “Aktuelle pädagogische und hermeneutische Ansätze aus
Judentum, Christentum und Islam in Kindertora, Kinderbibel und Kinderkoran: Identitätsbildung,
diversitätssensible Religionspädagogik und normative Diskurse.” TheoWeb. Zeitschrift
für Religionspädagogik 2 (2024): 224–37. https://doi.org/10.23770/tw0360.'
ieee: 'M. Keuchen, “Aktuelle pädagogische und hermeneutische Ansätze aus Judentum,
Christentum und Islam in Kindertora, Kinderbibel und Kinderkoran: Identitätsbildung,
diversitätssensible Religionspädagogik und normative Diskurse,” TheoWeb. Zeitschrift
für Religionspädagogik, vol. 2, pp. 224–237, 2024, doi: 10.23770/tw0360.'
mla: 'Keuchen, Marion. “Aktuelle pädagogische und hermeneutische Ansätze aus Judentum,
Christentum und Islam in Kindertora, Kinderbibel und Kinderkoran: Identitätsbildung,
diversitätssensible Religionspädagogik und normative Diskurse.” TheoWeb. Zeitschrift
für Religionspädagogik, vol. 2, 2024, pp. 224–37, doi:10.23770/tw0360.'
short: M. Keuchen, TheoWeb. Zeitschrift für Religionspädagogik 2 (2024) 224–237.
date_created: 2026-03-27T08:06:54Z
date_updated: 2026-03-27T18:41:17Z
ddc:
- '200'
department:
- _id: '20'
- _id: '500'
doi: 10.23770/tw0360
file:
- access_level: closed
content_type: application/pdf
creator: keuchen
date_created: 2026-03-27T08:04:06Z
date_updated: 2026-03-27T08:04:06Z
file_id: '65164'
file_name: aktuelle-paedagogische-und-hermeneutische-ansaetze-aus-judentum-christentum-und-islam-in-kindertora-kinderbibel-und-kinderkoran-identitaetsbildung-diversitaetssensible-religionspaedagogik-und-normative-diskurse.pdf
file_size: 223437
relation: main_file
success: 1
file_date_updated: 2026-03-27T08:04:06Z
has_accepted_license: '1'
intvolume: ' 2'
keyword:
- Heilige Schriften
- interreligiöses Lernen
- Schrifthermeneutik
- Identität
- diversitätssensible Religionspädagogik
- jüdische Religionspädagogik
- muslimische Religionspädagogik
- christliche Religionspädagogik
- Holy scriptures
- interreligious learning
- hermeneutics of scripture
- identity
- diversity-sensitive religious education
- Jewish religious education
- Muslim religious education
- Christian religious education
language:
- iso: ger
main_file_link:
- open_access: '1'
url: https://www.theo-web.de/fileadmin/user_upload/theo-web/pdfs/23-jahrgang-2024-heft-2/aktuelle-paedagogische-und-hermeneutische-ansaetze-aus-judentum-christentum-und-islam-in-kindertora-kinderbibel-und-kinderkoran-identitaetsbildung-diversitaetssensible-religionspaedagogik-und-normative-diskurse.pdf
oa: '1'
page: 224-237
publication: TheoWeb. Zeitschrift für Religionspädagogik
publication_status: published
quality_controlled: '1'
related_material:
link:
- relation: confirmation
url: https://www.theo-web.de/fileadmin/user_upload/theo-web/pdfs/23-jahrgang-2024-heft-2/aktuelle-paedagogische-und-hermeneutische-ansaetze-aus-judentum-christentum-und-islam-in-kindertora-kinderbibel-und-kinderkoran-identitaetsbildung-diversitaetssensible-religionspaedagogik-und-normative-diskurse.pdf
status: public
title: 'Aktuelle pädagogische und hermeneutische Ansätze aus Judentum, Christentum
und Islam in Kindertora, Kinderbibel und Kinderkoran: Identitätsbildung, diversitätssensible
Religionspädagogik und normative Diskurse'
type: journal_article
user_id: '251'
volume: 2
year: '2024'
...
---
_id: '48872'
abstract:
- lang: eng
text: Quality diversity (QD) is a branch of evolutionary computation that gained
increasing interest in recent years. The Map-Elites QD approach defines a feature
space, i.e., a partition of the search space, and stores the best solution for
each cell of this space. We study a simple QD algorithm in the context of pseudo-Boolean
optimisation on the "number of ones" feature space, where the ith cell stores
the best solution amongst those with a number of ones in [(i - 1)k, ik - 1]. Here
k is a granularity parameter 1 {$\leq$} k {$\leq$} n+1. We give a tight bound
on the expected time until all cells are covered for arbitrary fitness functions
and for all k and analyse the expected optimisation time of QD on OneMax and other
problems whose structure aligns favourably with the feature space. On combinatorial
problems we show that QD finds a (1 - 1/e)-approximation when maximising any monotone
sub-modular function with a single uniform cardinality constraint efficiently.
Defining the feature space as the number of connected components of a connected
graph, we show that QD finds a minimum spanning tree in expected polynomial time.
author:
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Dirk
full_name: Sudholt, Dirk
last_name: Sudholt
citation:
ama: 'Bossek J, Sudholt D. Runtime Analysis of Quality Diversity Algorithms. In:
Proceedings of the Genetic and Evolutionary Computation Conference. GECCO’23.
Association for Computing Machinery; 2023:1546–1554. doi:10.1145/3583131.3590383'
apa: Bossek, J., & Sudholt, D. (2023). Runtime Analysis of Quality Diversity
Algorithms. Proceedings of the Genetic and Evolutionary Computation Conference,
1546–1554. https://doi.org/10.1145/3583131.3590383
bibtex: '@inproceedings{Bossek_Sudholt_2023, place={New York, NY, USA}, series={GECCO’23},
title={Runtime Analysis of Quality Diversity Algorithms}, DOI={10.1145/3583131.3590383},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference},
publisher={Association for Computing Machinery}, author={Bossek, Jakob and Sudholt,
Dirk}, year={2023}, pages={1546–1554}, collection={GECCO’23} }'
chicago: 'Bossek, Jakob, and Dirk Sudholt. “Runtime Analysis of Quality Diversity
Algorithms.” In Proceedings of the Genetic and Evolutionary Computation Conference,
1546–1554. GECCO’23. New York, NY, USA: Association for Computing Machinery, 2023.
https://doi.org/10.1145/3583131.3590383.'
ieee: 'J. Bossek and D. Sudholt, “Runtime Analysis of Quality Diversity Algorithms,”
in Proceedings of the Genetic and Evolutionary Computation Conference,
2023, pp. 1546–1554, doi: 10.1145/3583131.3590383.'
mla: Bossek, Jakob, and Dirk Sudholt. “Runtime Analysis of Quality Diversity Algorithms.”
Proceedings of the Genetic and Evolutionary Computation Conference, Association
for Computing Machinery, 2023, pp. 1546–1554, doi:10.1145/3583131.3590383.
short: 'J. Bossek, D. Sudholt, in: Proceedings of the Genetic and Evolutionary Computation
Conference, Association for Computing Machinery, New York, NY, USA, 2023, pp.
1546–1554.'
date_created: 2023-11-14T15:58:57Z
date_updated: 2023-12-13T10:48:26Z
department:
- _id: '819'
doi: 10.1145/3583131.3590383
extern: '1'
keyword:
- quality diversity
- runtime analysis
language:
- iso: eng
page: 1546–1554
place: New York, NY, USA
publication: Proceedings of the Genetic and Evolutionary Computation Conference
publication_identifier:
isbn:
- '9798400701191'
publisher: Association for Computing Machinery
series_title: GECCO’23
status: public
title: Runtime Analysis of Quality Diversity Algorithms
type: conference
user_id: '102979'
year: '2023'
...
---
_id: '54428'
abstract:
- lang: eng
text: The article shows using the examples of the novels GRM. Brainfuck by Sibylle
Berg and Quality-Land by Marc-Uwe Kling how concepts of diversity can turn into
normative ideas about groups. Diversity as a positively valued descriptive category
of societies aims to influence ideas about the normality of language and the cultural
composition of societies. However, algorithmic systems based on artificial intelligence
in particular can contribute to the separation of constructed groups. Quite contrary
to the goals of an open and pluralistic society, ruptures in social groups can
be strengthened in this way.
author:
- first_name: Swen
full_name: Schulte Eickholt, Swen
id: '7117'
last_name: Schulte Eickholt
citation:
ama: 'Schulte Eickholt S. Normative Diversität? Nahe Zukunft bei Sibylle Berg und
Marc-Uwe Kling. In: Cosan L, Bazarkaya OK, Tekin H, eds. Germanistik im Wandel
1. Neue Einsichten und Perspektiven in der Literaturwissenschaft. Logos; 2023:65-75.'
apa: Schulte Eickholt, S. (2023). Normative Diversität? Nahe Zukunft bei Sibylle
Berg und Marc-Uwe Kling. In L. Cosan, O. K. Bazarkaya, & H. Tekin (Eds.),
Germanistik im Wandel 1. Neue Einsichten und Perspektiven in der Literaturwissenschaft
(pp. 65–75). Logos.
bibtex: '@inbook{Schulte Eickholt_2023, place={Berlin}, title={Normative Diversität?
Nahe Zukunft bei Sibylle Berg und Marc-Uwe Kling}, booktitle={Germanistik im Wandel
1. Neue Einsichten und Perspektiven in der Literaturwissenschaft}, publisher={Logos},
author={Schulte Eickholt, Swen}, editor={Cosan, Leyla and Bazarkaya, Onur Kemal
and Tekin, Habib}, year={2023}, pages={65–75} }'
chicago: 'Schulte Eickholt, Swen. “Normative Diversität? Nahe Zukunft bei Sibylle
Berg und Marc-Uwe Kling.” In Germanistik im Wandel 1. Neue Einsichten und Perspektiven
in der Literaturwissenschaft, edited by Leyla Cosan, Onur Kemal Bazarkaya,
and Habib Tekin, 65–75. Berlin: Logos, 2023.'
ieee: 'S. Schulte Eickholt, “Normative Diversität? Nahe Zukunft bei Sibylle Berg
und Marc-Uwe Kling,” in Germanistik im Wandel 1. Neue Einsichten und Perspektiven
in der Literaturwissenschaft, L. Cosan, O. K. Bazarkaya, and H. Tekin, Eds.
Berlin: Logos, 2023, pp. 65–75.'
mla: Schulte Eickholt, Swen. “Normative Diversität? Nahe Zukunft bei Sibylle Berg
und Marc-Uwe Kling.” Germanistik im Wandel 1. Neue Einsichten und Perspektiven
in der Literaturwissenschaft, edited by Leyla Cosan et al., Logos, 2023, pp.
65–75.
short: 'S. Schulte Eickholt, in: L. Cosan, O.K. Bazarkaya, H. Tekin (Eds.), Germanistik
im Wandel 1. Neue Einsichten und Perspektiven in der Literaturwissenschaft, Logos,
Berlin, 2023, pp. 65–75.'
date_created: 2024-05-23T09:25:19Z
date_updated: 2024-07-31T07:51:08Z
department:
- _id: '465'
editor:
- first_name: Leyla
full_name: Cosan, Leyla
last_name: Cosan
- first_name: Onur Kemal
full_name: Bazarkaya, Onur Kemal
last_name: Bazarkaya
- first_name: Habib
full_name: Tekin, Habib
last_name: Tekin
keyword:
- diversity
- normality
- contemporary literature
- algorithm
- distopia
- Diversität
- Normalität
- Gegenwartsliteratur
- Algorithmus
- Dystopie
language:
- iso: ger
page: 65-75
place: Berlin
publication: Germanistik im Wandel 1. Neue Einsichten und Perspektiven in der Literaturwissenschaft
publication_status: published
publisher: Logos
quality_controlled: '1'
status: public
title: Normative Diversität? Nahe Zukunft bei Sibylle Berg und Marc-Uwe Kling
type: book_chapter
user_id: '7117'
year: '2023'
...
---
_id: '48861'
abstract:
- lang: eng
text: Generating instances of different properties is key to algorithm selection
methods that differentiate between the performance of different solvers for a
given combinatorial optimization problem. A wide range of methods using evolutionary
computation techniques has been introduced in recent years. With this paper, we
contribute to this area of research by providing a new approach based on quality
diversity (QD) that is able to explore the whole feature space. QD algorithms
allow to create solutions of high quality within a given feature space by splitting
it up into boxes and improving solution quality within each box. We use our QD
approach for the generation of TSP instances to visualize and analyze the variety
of instances differentiating various TSP solvers and compare it to instances generated
by established approaches from the literature.
author:
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Frank
full_name: Neumann, Frank
last_name: Neumann
citation:
ama: 'Bossek J, Neumann F. Exploring the Feature Space of TSP Instances Using Quality
Diversity. In: Proceedings of the Genetic and Evolutionary Computation Conference.
GECCO ’22. Association for Computing Machinery; 2022:186–194. doi:10.1145/3512290.3528851'
apa: Bossek, J., & Neumann, F. (2022). Exploring the Feature Space of TSP Instances
Using Quality Diversity. Proceedings of the Genetic and Evolutionary Computation
Conference, 186–194. https://doi.org/10.1145/3512290.3528851
bibtex: '@inproceedings{Bossek_Neumann_2022, place={New York, NY, USA}, series={GECCO
’22}, title={Exploring the Feature Space of TSP Instances Using Quality Diversity},
DOI={10.1145/3512290.3528851},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference},
publisher={Association for Computing Machinery}, author={Bossek, Jakob and Neumann,
Frank}, year={2022}, pages={186–194}, collection={GECCO ’22} }'
chicago: 'Bossek, Jakob, and Frank Neumann. “Exploring the Feature Space of TSP
Instances Using Quality Diversity.” In Proceedings of the Genetic and Evolutionary
Computation Conference, 186–194. GECCO ’22. New York, NY, USA: Association
for Computing Machinery, 2022. https://doi.org/10.1145/3512290.3528851.'
ieee: 'J. Bossek and F. Neumann, “Exploring the Feature Space of TSP Instances Using
Quality Diversity,” in Proceedings of the Genetic and Evolutionary Computation
Conference, 2022, pp. 186–194, doi: 10.1145/3512290.3528851.'
mla: Bossek, Jakob, and Frank Neumann. “Exploring the Feature Space of TSP Instances
Using Quality Diversity.” Proceedings of the Genetic and Evolutionary Computation
Conference, Association for Computing Machinery, 2022, pp. 186–194, doi:10.1145/3512290.3528851.
short: 'J. Bossek, F. Neumann, in: Proceedings of the Genetic and Evolutionary Computation
Conference, Association for Computing Machinery, New York, NY, USA, 2022, pp.
186–194.'
date_created: 2023-11-14T15:58:55Z
date_updated: 2023-12-13T10:45:56Z
department:
- _id: '819'
doi: 10.1145/3512290.3528851
extern: '1'
keyword:
- instance features
- instance generation
- quality diversity
- TSP
language:
- iso: eng
page: 186–194
place: New York, NY, USA
publication: Proceedings of the Genetic and Evolutionary Computation Conference
publication_identifier:
isbn:
- 978-1-4503-9237-2
publication_status: published
publisher: Association for Computing Machinery
series_title: GECCO ’22
status: public
title: Exploring the Feature Space of TSP Instances Using Quality Diversity
type: conference
user_id: '102979'
year: '2022'
...
---
_id: '48894'
abstract:
- lang: eng
text: Recently different evolutionary computation approaches have been developed
that generate sets of high quality diverse solutions for a given optimisation
problem. Many studies have considered diversity 1) as a mean to explore niches
in behavioural space (quality diversity) or 2) to increase the structural differences
of solutions (evolutionary diversity optimisation). In this study, we introduce
a co-evolutionary algorithm to simultaneously explore the two spaces for the multi-component
traveling thief problem. The results show the capability of the co-evolutionary
algorithm to achieve significantly higher diversity compared to the baseline evolutionary
diversity algorithms from the literature.
author:
- first_name: Adel
full_name: Nikfarjam, Adel
last_name: Nikfarjam
- first_name: Aneta
full_name: Neumann, Aneta
last_name: Neumann
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Frank
full_name: Neumann, Frank
last_name: Neumann
citation:
ama: 'Nikfarjam A, Neumann A, Bossek J, Neumann F. Co-Evolutionary Diversity Optimisation
for the Traveling Thief Problem. In: Rudolph G, Kononova AV, Aguirre H, Kerschke
P, Ochoa G, Tu\v sar T, eds. Parallel Problem Solving from Nature (PPSN XVII).
Lecture Notes in Computer Science. Springer International Publishing; 2022:237–249.
doi:10.1007/978-3-031-14714-2_17'
apa: Nikfarjam, A., Neumann, A., Bossek, J., & Neumann, F. (2022). Co-Evolutionary
Diversity Optimisation for the Traveling Thief Problem. In G. Rudolph, A. V. Kononova,
H. Aguirre, P. Kerschke, G. Ochoa, & T. Tu\v sar (Eds.), Parallel Problem
Solving from Nature (PPSN XVII) (pp. 237–249). Springer International Publishing.
https://doi.org/10.1007/978-3-031-14714-2_17
bibtex: '@inproceedings{Nikfarjam_Neumann_Bossek_Neumann_2022, place={Cham}, series={Lecture
Notes in Computer Science}, title={Co-Evolutionary Diversity Optimisation for
the Traveling Thief Problem}, DOI={10.1007/978-3-031-14714-2_17},
booktitle={Parallel Problem Solving from Nature (PPSN XVII)}, publisher={Springer
International Publishing}, author={Nikfarjam, Adel and Neumann, Aneta and Bossek,
Jakob and Neumann, Frank}, editor={Rudolph, Günter and Kononova, Anna V. and Aguirre,
Hernán and Kerschke, Pascal and Ochoa, Gabriela and Tu\v sar, Tea}, year={2022},
pages={237–249}, collection={Lecture Notes in Computer Science} }'
chicago: 'Nikfarjam, Adel, Aneta Neumann, Jakob Bossek, and Frank Neumann. “Co-Evolutionary
Diversity Optimisation for the Traveling Thief Problem.” In Parallel Problem
Solving from Nature (PPSN XVII), edited by Günter Rudolph, Anna V. Kononova,
Hernán Aguirre, Pascal Kerschke, Gabriela Ochoa, and Tea Tu\v sar, 237–249. Lecture
Notes in Computer Science. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-14714-2_17.'
ieee: 'A. Nikfarjam, A. Neumann, J. Bossek, and F. Neumann, “Co-Evolutionary Diversity
Optimisation for the Traveling Thief Problem,” in Parallel Problem Solving
from Nature (PPSN XVII), 2022, pp. 237–249, doi: 10.1007/978-3-031-14714-2_17.'
mla: Nikfarjam, Adel, et al. “Co-Evolutionary Diversity Optimisation for the Traveling
Thief Problem.” Parallel Problem Solving from Nature (PPSN XVII), edited
by Günter Rudolph et al., Springer International Publishing, 2022, pp. 237–249,
doi:10.1007/978-3-031-14714-2_17.
short: 'A. Nikfarjam, A. Neumann, J. Bossek, F. Neumann, in: G. Rudolph, A.V. Kononova,
H. Aguirre, P. Kerschke, G. Ochoa, T. Tu\v sar (Eds.), Parallel Problem Solving
from Nature (PPSN XVII), Springer International Publishing, Cham, 2022, pp. 237–249.'
date_created: 2023-11-14T15:59:00Z
date_updated: 2023-12-13T10:49:51Z
department:
- _id: '819'
doi: 10.1007/978-3-031-14714-2_17
editor:
- first_name: Günter
full_name: Rudolph, Günter
last_name: Rudolph
- first_name: Anna V.
full_name: Kononova, Anna V.
last_name: Kononova
- first_name: Hernán
full_name: Aguirre, Hernán
last_name: Aguirre
- first_name: Pascal
full_name: Kerschke, Pascal
last_name: Kerschke
- first_name: Gabriela
full_name: Ochoa, Gabriela
last_name: Ochoa
- first_name: Tea
full_name: Tu\v sar, Tea
last_name: Tu\v sar
extern: '1'
keyword:
- Co-evolutionary algorithms
- Evolutionary diversity optimisation
- Quality diversity
- Traveling thief problem
language:
- iso: eng
page: 237–249
place: Cham
publication: Parallel Problem Solving from Nature (PPSN XVII)
publication_identifier:
isbn:
- 978-3-031-14714-2
publication_status: published
publisher: Springer International Publishing
series_title: Lecture Notes in Computer Science
status: public
title: Co-Evolutionary Diversity Optimisation for the Traveling Thief Problem
type: conference
user_id: '102979'
year: '2022'
...
---
_id: '36545'
abstract:
- lang: eng
text: 'Due to the Corona crisis, German Higher Education Institutions had to close
their campuses in March and lecturers had to teach online. To understand how the
Corona crisis affected students, first this article explains the structural and
social inequalities in the German higher education system, using Tinto''s (1975;
1997) student engagement theory. Second, the concept of Bergman-Rosamond et al.
(2020) is used to analyze the challenges that Corona has raised for students,
including current surveys. We found that the closure of the social space campus
(and the Corona crisis as a whole) particularly hit hard those students who had
previously been affected by (intersectional) inequality. Therefore, to lessen
the specific challenges associated with the ad hoc transition to digital studying,
the creation of a digital community of learning can help. We demonstrate how such
a community can be created by the example seminar, "Digital practices: an autoethnographic
observation". During the seminar, students recorded their digital technology use
in a journal, and we analyzed the diary entries using the collaborate autoethnography
method. The seminar example shows that this method is well suited for the development
of a community of learning as it not only places students in the spotlight but
as students work together on a topic they get to know each other, and a basis
of trust is created through peer-feedback. Therefore, it was important to have
a digital space (in this case Mahara) where the exchange could take place. The
continuous insight into the students’ "learning status" enabled the lecturer to
promote the learning and provide individual assistance for the students.'
article_type: original
author:
- first_name: Isabel
full_name: Steinhardt, Isabel
id: '90339'
last_name: Steinhardt
orcid: https://orcid.org/0000-0002-2590-6189
citation:
ama: 'Steinhardt I. Students in the spotlight: Using collaborative autoethnography
to build a community of learning in the Corona crisis. ISA Pedagogy Series.
2021;1(1):42-59.'
apa: 'Steinhardt, I. (2021). Students in the spotlight: Using collaborative autoethnography
to build a community of learning in the Corona crisis. ISA Pedagogy Series,
1(1), 42–59.'
bibtex: '@article{Steinhardt_2021, title={Students in the spotlight: Using collaborative
autoethnography to build a community of learning in the Corona crisis}, volume={1},
number={1}, journal={ISA Pedagogy Series}, publisher={International Sociology
Association}, author={Steinhardt, Isabel}, year={2021}, pages={42–59} }'
chicago: 'Steinhardt, Isabel. “Students in the Spotlight: Using Collaborative Autoethnography
to Build a Community of Learning in the Corona Crisis.” ISA Pedagogy Series
1, no. 1 (2021): 42–59.'
ieee: 'I. Steinhardt, “Students in the spotlight: Using collaborative autoethnography
to build a community of learning in the Corona crisis,” ISA Pedagogy Series,
vol. 1, no. 1, pp. 42–59, 2021.'
mla: 'Steinhardt, Isabel. “Students in the Spotlight: Using Collaborative Autoethnography
to Build a Community of Learning in the Corona Crisis.” ISA Pedagogy Series,
vol. 1, no. 1, International Sociology Association, 2021, pp. 42–59.'
short: I. Steinhardt, ISA Pedagogy Series 1 (2021) 42–59.
date_created: 2023-01-13T09:21:52Z
date_updated: 2023-01-13T09:21:57Z
ddc:
- '300'
department:
- _id: '121'
extern: '1'
file:
- access_level: closed
content_type: application/pdf
creator: isste
date_created: 2023-01-13T09:19:55Z
date_updated: 2023-01-13T09:19:55Z
file_id: '36547'
file_name: 2021 Steinhardt Students in the spotlight.pdf
file_size: 391202
relation: main_file
success: 1
file_date_updated: 2023-01-13T09:19:55Z
has_accepted_license: '1'
intvolume: ' 1'
issue: '1'
keyword:
- Intersectionality
- inequality
- gender
- diversity
- higher-education
- crisis
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.isaportal.org/resources/resource/students-in-the-spotlight-using-collaborative-autoethnography-to-build-a-community-of-learning-in-the-corona-crisis/
oa: '1'
page: 42-59
publication: ISA Pedagogy Series
publication_status: published
publisher: International Sociology Association
quality_controlled: '1'
status: public
title: 'Students in the spotlight: Using collaborative autoethnography to build a
community of learning in the Corona crisis'
type: journal_article
user_id: '90339'
volume: 1
year: '2021'
...
---
_id: '48853'
abstract:
- lang: eng
text: In practise, it is often desirable to provide the decision-maker with a rich
set of diverse solutions of decent quality instead of just a single solution.
In this paper we study evolutionary diversity optimization for the knapsack problem
(KP). Our goal is to evolve a population of solutions that all have a profit of
at least (1 - {$ϵ$}) {$\cdot$} OPT, where OPT is the value of an optimal solution.
Furthermore, they should differ in structure with respect to an entropy-based
diversity measure. To this end we propose a simple ({$\mu$} + 1)-EA with initial
approximate solutions calculated by a well-known FPTAS for the KP. We investigate
the effect of different standard mutation operators and introduce biased mutation
and crossover which puts strong probability on flipping bits of low and/or high
frequency within the population. An experimental study on different instances
and settings shows that the proposed mutation operators in most cases perform
slightly inferior in the long term, but show strong benefits if the number of
function evaluations is severely limited.
author:
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Aneta
full_name: Neumann, Aneta
last_name: Neumann
- first_name: Frank
full_name: Neumann, Frank
last_name: Neumann
citation:
ama: 'Bossek J, Neumann A, Neumann F. Breeding Diverse Packings for the Knapsack
Problem by Means of Diversity-Tailored Evolutionary Algorithms. In: Proceedings
of the Genetic and Evolutionary Computation Conference. GECCO ’21. Association
for Computing Machinery; 2021:556–564. doi:10.1145/3449639.3459364'
apa: Bossek, J., Neumann, A., & Neumann, F. (2021). Breeding Diverse Packings
for the Knapsack Problem by Means of Diversity-Tailored Evolutionary Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 556–564.
https://doi.org/10.1145/3449639.3459364
bibtex: '@inproceedings{Bossek_Neumann_Neumann_2021, place={New York, NY, USA},
series={GECCO ’21}, title={Breeding Diverse Packings for the Knapsack Problem
by Means of Diversity-Tailored Evolutionary Algorithms}, DOI={10.1145/3449639.3459364},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference},
publisher={Association for Computing Machinery}, author={Bossek, Jakob and Neumann,
Aneta and Neumann, Frank}, year={2021}, pages={556–564}, collection={GECCO ’21}
}'
chicago: 'Bossek, Jakob, Aneta Neumann, and Frank Neumann. “Breeding Diverse Packings
for the Knapsack Problem by Means of Diversity-Tailored Evolutionary Algorithms.”
In Proceedings of the Genetic and Evolutionary Computation Conference,
556–564. GECCO ’21. New York, NY, USA: Association for Computing Machinery, 2021.
https://doi.org/10.1145/3449639.3459364.'
ieee: 'J. Bossek, A. Neumann, and F. Neumann, “Breeding Diverse Packings for the
Knapsack Problem by Means of Diversity-Tailored Evolutionary Algorithms,” in Proceedings
of the Genetic and Evolutionary Computation Conference, 2021, pp. 556–564,
doi: 10.1145/3449639.3459364.'
mla: Bossek, Jakob, et al. “Breeding Diverse Packings for the Knapsack Problem by
Means of Diversity-Tailored Evolutionary Algorithms.” Proceedings of the Genetic
and Evolutionary Computation Conference, Association for Computing Machinery,
2021, pp. 556–564, doi:10.1145/3449639.3459364.
short: 'J. Bossek, A. Neumann, F. Neumann, in: Proceedings of the Genetic and Evolutionary
Computation Conference, Association for Computing Machinery, New York, NY, USA,
2021, pp. 556–564.'
date_created: 2023-11-14T15:58:54Z
date_updated: 2023-12-13T10:45:22Z
department:
- _id: '819'
doi: 10.1145/3449639.3459364
extern: '1'
keyword:
- evolutionary algorithms
- evolutionary diversity optimization
- knapsack problem
- tailored operators
language:
- iso: eng
page: 556–564
place: New York, NY, USA
publication: Proceedings of the Genetic and Evolutionary Computation Conference
publication_identifier:
isbn:
- 978-1-4503-8350-9
publication_status: published
publisher: Association for Computing Machinery
series_title: GECCO ’21
status: public
title: Breeding Diverse Packings for the Knapsack Problem by Means of Diversity-Tailored
Evolutionary Algorithms
type: conference
user_id: '102979'
year: '2021'
...
---
_id: '48860'
abstract:
- lang: eng
text: In the area of evolutionary computation the calculation of diverse sets of
high-quality solutions to a given optimization problem has gained momentum in
recent years under the term evolutionary diversity optimization. Theoretical insights
into the working principles of baseline evolutionary algorithms for diversity
optimization are still rare. In this paper we study the well-known Minimum Spanning
Tree problem (MST) in the context of diversity optimization where population diversity
is measured by the sum of pairwise edge overlaps. Theoretical results provide
insights into the fitness landscape of the MST diversity optimization problem
pointing out that even for a population of {$\mu$} = 2 fitness plateaus (of constant
length) can be reached, but nevertheless diverse sets can be calculated in polynomial
time. We supplement our theoretical results with a series of experiments for the
unconstrained and constraint case where all solutions need to fulfill a minimal
quality threshold. Our results show that a simple ({$\mu$} + 1)-EA can effectively
compute a diversified population of spanning trees of high quality.
author:
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Frank
full_name: Neumann, Frank
last_name: Neumann
citation:
ama: 'Bossek J, Neumann F. Evolutionary Diversity Optimization and the Minimum Spanning
Tree Problem. In: Proceedings of the Genetic and Evolutionary Computation Conference.
GECCO ’21. Association for Computing Machinery; 2021:198–206. doi:10.1145/3449639.3459363'
apa: Bossek, J., & Neumann, F. (2021). Evolutionary Diversity Optimization and
the Minimum Spanning Tree Problem. Proceedings of the Genetic and Evolutionary
Computation Conference, 198–206. https://doi.org/10.1145/3449639.3459363
bibtex: '@inproceedings{Bossek_Neumann_2021, place={New York, NY, USA}, series={GECCO
’21}, title={Evolutionary Diversity Optimization and the Minimum Spanning Tree
Problem}, DOI={10.1145/3449639.3459363},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference},
publisher={Association for Computing Machinery}, author={Bossek, Jakob and Neumann,
Frank}, year={2021}, pages={198–206}, collection={GECCO ’21} }'
chicago: 'Bossek, Jakob, and Frank Neumann. “Evolutionary Diversity Optimization
and the Minimum Spanning Tree Problem.” In Proceedings of the Genetic and Evolutionary
Computation Conference, 198–206. GECCO ’21. New York, NY, USA: Association
for Computing Machinery, 2021. https://doi.org/10.1145/3449639.3459363.'
ieee: 'J. Bossek and F. Neumann, “Evolutionary Diversity Optimization and the Minimum
Spanning Tree Problem,” in Proceedings of the Genetic and Evolutionary Computation
Conference, 2021, pp. 198–206, doi: 10.1145/3449639.3459363.'
mla: Bossek, Jakob, and Frank Neumann. “Evolutionary Diversity Optimization and
the Minimum Spanning Tree Problem.” Proceedings of the Genetic and Evolutionary
Computation Conference, Association for Computing Machinery, 2021, pp. 198–206,
doi:10.1145/3449639.3459363.
short: 'J. Bossek, F. Neumann, in: Proceedings of the Genetic and Evolutionary Computation
Conference, Association for Computing Machinery, New York, NY, USA, 2021, pp.
198–206.'
date_created: 2023-11-14T15:58:55Z
date_updated: 2023-12-13T10:45:37Z
department:
- _id: '819'
doi: 10.1145/3449639.3459363
extern: '1'
keyword:
- evolutionary algorithms
- evolutionary diversity optimization
- minimum spanning tree
- runtime analysis
language:
- iso: eng
page: 198–206
place: New York, NY, USA
publication: Proceedings of the Genetic and Evolutionary Computation Conference
publication_identifier:
isbn:
- 978-1-4503-8350-9
publication_status: published
publisher: Association for Computing Machinery
series_title: GECCO ’21
status: public
title: Evolutionary Diversity Optimization and the Minimum Spanning Tree Problem
type: conference
user_id: '102979'
year: '2021'
...
---
_id: '48893'
abstract:
- lang: eng
text: Computing diverse sets of high-quality solutions has gained increasing attention
among the evolutionary computation community in recent years. It allows practitioners
to choose from a set of high-quality alternatives. In this paper, we employ a
population diversity measure, called the high-order entropy measure, in an evolutionary
algorithm to compute a diverse set of high-quality solutions for the Traveling
Salesperson Problem. In contrast to previous studies, our approach allows diversifying
segments of tours containing several edges based on the entropy measure. We examine
the resulting evolutionary diversity optimisation approach precisely in terms
of the final set of solutions and theoretical properties. Experimental results
show significant improvements compared to a recently proposed edge-based diversity
optimisation approach when working with a large population of solutions or long
segments.
author:
- first_name: Adel
full_name: Nikfarjam, Adel
last_name: Nikfarjam
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Aneta
full_name: Neumann, Aneta
last_name: Neumann
- first_name: Frank
full_name: Neumann, Frank
last_name: Neumann
citation:
ama: 'Nikfarjam A, Bossek J, Neumann A, Neumann F. Entropy-Based Evolutionary Diversity
Optimisation for the Traveling Salesperson Problem. In: Proceedings of the
Genetic and Evolutionary Computation Conference. GECCO’21. Association for
Computing Machinery; 2021:600–608. doi:10.1145/3449639.3459384'
apa: Nikfarjam, A., Bossek, J., Neumann, A., & Neumann, F. (2021). Entropy-Based
Evolutionary Diversity Optimisation for the Traveling Salesperson Problem. Proceedings
of the Genetic and Evolutionary Computation Conference, 600–608. https://doi.org/10.1145/3449639.3459384
bibtex: '@inproceedings{Nikfarjam_Bossek_Neumann_Neumann_2021, place={New York,
NY, USA}, series={GECCO’21}, title={Entropy-Based Evolutionary Diversity Optimisation
for the Traveling Salesperson Problem}, DOI={10.1145/3449639.3459384},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference},
publisher={Association for Computing Machinery}, author={Nikfarjam, Adel and Bossek,
Jakob and Neumann, Aneta and Neumann, Frank}, year={2021}, pages={600–608}, collection={GECCO’21}
}'
chicago: 'Nikfarjam, Adel, Jakob Bossek, Aneta Neumann, and Frank Neumann. “Entropy-Based
Evolutionary Diversity Optimisation for the Traveling Salesperson Problem.” In
Proceedings of the Genetic and Evolutionary Computation Conference, 600–608.
GECCO’21. New York, NY, USA: Association for Computing Machinery, 2021. https://doi.org/10.1145/3449639.3459384.'
ieee: 'A. Nikfarjam, J. Bossek, A. Neumann, and F. Neumann, “Entropy-Based Evolutionary
Diversity Optimisation for the Traveling Salesperson Problem,” in Proceedings
of the Genetic and Evolutionary Computation Conference, 2021, pp. 600–608,
doi: 10.1145/3449639.3459384.'
mla: Nikfarjam, Adel, et al. “Entropy-Based Evolutionary Diversity Optimisation
for the Traveling Salesperson Problem.” Proceedings of the Genetic and Evolutionary
Computation Conference, Association for Computing Machinery, 2021, pp. 600–608,
doi:10.1145/3449639.3459384.
short: 'A. Nikfarjam, J. Bossek, A. Neumann, F. Neumann, in: Proceedings of the
Genetic and Evolutionary Computation Conference, Association for Computing Machinery,
New York, NY, USA, 2021, pp. 600–608.'
date_created: 2023-11-14T15:59:00Z
date_updated: 2023-12-13T10:50:06Z
department:
- _id: '819'
doi: 10.1145/3449639.3459384
extern: '1'
keyword:
- evolutionary algorithms
- evolutionary diversity optimisation
- high-order entropy
- traveling salesperson problem
language:
- iso: eng
page: 600–608
place: New York, NY, USA
publication: Proceedings of the Genetic and Evolutionary Computation Conference
publication_identifier:
isbn:
- 978-1-4503-8350-9
publisher: Association for Computing Machinery
series_title: GECCO’21
status: public
title: Entropy-Based Evolutionary Diversity Optimisation for the Traveling Salesperson
Problem
type: conference
user_id: '102979'
year: '2021'
...
---
_id: '48891'
abstract:
- lang: eng
text: Submodular functions allow to model many real-world optimisation problems.
This paper introduces approaches for computing diverse sets of high quality solutions
for submodular optimisation problems with uniform and knapsack constraints. We
first present diversifying greedy sampling approaches and analyse them with respect
to the diversity measured by entropy and the approximation quality of the obtained
solutions. Afterwards, we introduce an evolutionary diversity optimisation (EDO)
approach to further improve diversity of the set of solutions. We carry out experimental
investigations on popular submodular benchmark problems and analyse trade-offs
in terms of solution quality and diversity of the resulting solution sets.
author:
- first_name: Aneta
full_name: Neumann, Aneta
last_name: Neumann
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Frank
full_name: Neumann, Frank
last_name: Neumann
citation:
ama: 'Neumann A, Bossek J, Neumann F. Diversifying Greedy Sampling and Evolutionary
Diversity Optimisation for Constrained Monotone Submodular Functions. In: Proceedings
of the Genetic and Evolutionary Computation Conference. GECCO’21. Association
for Computing Machinery; 2021:261–269. doi:10.1145/3449639.3459385'
apa: Neumann, A., Bossek, J., & Neumann, F. (2021). Diversifying Greedy Sampling
and Evolutionary Diversity Optimisation for Constrained Monotone Submodular Functions.
Proceedings of the Genetic and Evolutionary Computation Conference, 261–269.
https://doi.org/10.1145/3449639.3459385
bibtex: '@inproceedings{Neumann_Bossek_Neumann_2021, place={New York, NY, USA},
series={GECCO’21}, title={Diversifying Greedy Sampling and Evolutionary Diversity
Optimisation for Constrained Monotone Submodular Functions}, DOI={10.1145/3449639.3459385},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference},
publisher={Association for Computing Machinery}, author={Neumann, Aneta and Bossek,
Jakob and Neumann, Frank}, year={2021}, pages={261–269}, collection={GECCO’21}
}'
chicago: 'Neumann, Aneta, Jakob Bossek, and Frank Neumann. “Diversifying Greedy
Sampling and Evolutionary Diversity Optimisation for Constrained Monotone Submodular
Functions.” In Proceedings of the Genetic and Evolutionary Computation Conference,
261–269. GECCO’21. New York, NY, USA: Association for Computing Machinery, 2021.
https://doi.org/10.1145/3449639.3459385.'
ieee: 'A. Neumann, J. Bossek, and F. Neumann, “Diversifying Greedy Sampling and
Evolutionary Diversity Optimisation for Constrained Monotone Submodular Functions,”
in Proceedings of the Genetic and Evolutionary Computation Conference,
2021, pp. 261–269, doi: 10.1145/3449639.3459385.'
mla: Neumann, Aneta, et al. “Diversifying Greedy Sampling and Evolutionary Diversity
Optimisation for Constrained Monotone Submodular Functions.” Proceedings of
the Genetic and Evolutionary Computation Conference, Association for Computing
Machinery, 2021, pp. 261–269, doi:10.1145/3449639.3459385.
short: 'A. Neumann, J. Bossek, F. Neumann, in: Proceedings of the Genetic and Evolutionary
Computation Conference, Association for Computing Machinery, New York, NY, USA,
2021, pp. 261–269.'
date_created: 2023-11-14T15:58:59Z
date_updated: 2023-12-13T10:49:25Z
department:
- _id: '819'
doi: 10.1145/3449639.3459385
extern: '1'
keyword:
- evolutionary algorithms
- evolutionary diversity optimisation
- sub-modular functions
language:
- iso: eng
page: 261–269
place: New York, NY, USA
publication: Proceedings of the Genetic and Evolutionary Computation Conference
publication_identifier:
isbn:
- 978-1-4503-8350-9
publisher: Association for Computing Machinery
series_title: GECCO’21
status: public
title: Diversifying Greedy Sampling and Evolutionary Diversity Optimisation for Constrained
Monotone Submodular Functions
type: conference
user_id: '102979'
year: '2021'
...
---
_id: '48892'
abstract:
- lang: eng
text: Evolutionary algorithms based on edge assembly crossover (EAX) constitute
some of the best performing incomplete solvers for the well-known traveling salesperson
problem (TSP). Often, it is desirable to compute not just a single solution for
a given problem, but a diverse set of high quality solutions from which a decision
maker can choose one for implementation. Currently, there are only a few approaches
for computing a diverse solution set for the TSP. Furthermore, almost all of them
assume that the optimal solution is known. In this paper, we introduce evolutionary
diversity optimisation (EDO) approaches for the TSP that find a diverse set of
tours when the optimal tour is known or unknown. We show how to adopt EAX to not
only find a high-quality solution but also to maximise the diversity of the population.
The resulting EAX-based EDO approach, termed EAX-EDO is capable of obtaining diverse
high-quality tours when the optimal solution for the TSP is known or unknown.
A comparison to existing approaches shows that they are clearly outperformed by
EAX-EDO.
author:
- first_name: Adel
full_name: Nikfarjam, Adel
last_name: Nikfarjam
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Aneta
full_name: Neumann, Aneta
last_name: Neumann
- first_name: Frank
full_name: Neumann, Frank
last_name: Neumann
citation:
ama: 'Nikfarjam A, Bossek J, Neumann A, Neumann F. Computing Diverse Sets of High
Quality TSP Tours by EAX-based Evolutionary Diversity Optimisation. In: Proceedings
of the 16th ACM}/SIGEVO Conference on Foundations of Genetic Algorithms. Association
for Computing Machinery; 2021:1–11.'
apa: Nikfarjam, A., Bossek, J., Neumann, A., & Neumann, F. (2021). Computing
Diverse Sets of High Quality TSP Tours by EAX-based Evolutionary Diversity Optimisation.
In Proceedings of the 16th ACM}/SIGEVO Conference on Foundations of Genetic
Algorithms (pp. 1–11). Association for Computing Machinery.
bibtex: '@inbook{Nikfarjam_Bossek_Neumann_Neumann_2021, place={New York, NY, USA},
title={Computing Diverse Sets of High Quality TSP Tours by EAX-based Evolutionary
Diversity Optimisation}, booktitle={Proceedings of the 16th ACM}/SIGEVO Conference
on Foundations of Genetic Algorithms}, publisher={Association for Computing Machinery},
author={Nikfarjam, Adel and Bossek, Jakob and Neumann, Aneta and Neumann, Frank},
year={2021}, pages={1–11} }'
chicago: 'Nikfarjam, Adel, Jakob Bossek, Aneta Neumann, and Frank Neumann. “Computing
Diverse Sets of High Quality TSP Tours by EAX-Based Evolutionary Diversity Optimisation.”
In Proceedings of the 16th ACM}/SIGEVO Conference on Foundations of Genetic
Algorithms, 1–11. New York, NY, USA: Association for Computing Machinery,
2021.'
ieee: 'A. Nikfarjam, J. Bossek, A. Neumann, and F. Neumann, “Computing Diverse Sets
of High Quality TSP Tours by EAX-based Evolutionary Diversity Optimisation,” in
Proceedings of the 16th ACM}/SIGEVO Conference on Foundations of Genetic Algorithms,
New York, NY, USA: Association for Computing Machinery, 2021, pp. 1–11.'
mla: Nikfarjam, Adel, et al. “Computing Diverse Sets of High Quality TSP Tours by
EAX-Based Evolutionary Diversity Optimisation.” Proceedings of the 16th ACM}/SIGEVO
Conference on Foundations of Genetic Algorithms, Association for Computing
Machinery, 2021, pp. 1–11.
short: 'A. Nikfarjam, J. Bossek, A. Neumann, F. Neumann, in: Proceedings of the
16th ACM}/SIGEVO Conference on Foundations of Genetic Algorithms, Association
for Computing Machinery, New York, NY, USA, 2021, pp. 1–11.'
date_created: 2023-11-14T15:59:00Z
date_updated: 2023-12-13T10:49:59Z
department:
- _id: '819'
extern: '1'
keyword:
- edge assembly crossover (EAX)
- evolutionary algorithms
- evolutionary diversity optimisation (EDO)
- traveling salesperson problem (TSP)
language:
- iso: eng
page: 1–11
place: New York, NY, USA
publication: Proceedings of the 16th ACM}/SIGEVO Conference on Foundations of Genetic
Algorithms
publication_identifier:
isbn:
- 978-1-4503-8352-3
publisher: Association for Computing Machinery
status: public
title: Computing Diverse Sets of High Quality TSP Tours by EAX-based Evolutionary
Diversity Optimisation
type: book_chapter
user_id: '102979'
year: '2021'
...
---
_id: '48879'
abstract:
- lang: eng
text: Evolving diverse sets of high quality solutions has gained increasing interest
in the evolutionary computation literature in recent years. With this paper, we
contribute to this area of research by examining evolutionary diversity optimisation
approaches for the classical Traveling Salesperson Problem (TSP). We study the
impact of using different diversity measures for a given set of tours and the
ability of evolutionary algorithms to obtain a diverse set of high quality solutions
when adopting these measures. Our studies show that a large variety of diverse
high quality tours can be achieved by using our approaches. Furthermore, we compare
our approaches in terms of theoretical properties and the final set of tours obtained
by the evolutionary diversity optimisation algorithm.
author:
- first_name: Anh Viet
full_name: Do, Anh Viet
last_name: Do
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Aneta
full_name: Neumann, Aneta
last_name: Neumann
- first_name: Frank
full_name: Neumann, Frank
last_name: Neumann
citation:
ama: 'Do AV, Bossek J, Neumann A, Neumann F. Evolving Diverse Sets of Tours for
the Travelling Salesperson Problem. In: Proceedings of the Genetic and Evolutionary
Computation Conference. GECCO’20. Association for Computing Machinery; 2020:681–689.
doi:10.1145/3377930.3389844'
apa: Do, A. V., Bossek, J., Neumann, A., & Neumann, F. (2020). Evolving Diverse
Sets of Tours for the Travelling Salesperson Problem. Proceedings of the Genetic
and Evolutionary Computation Conference, 681–689. https://doi.org/10.1145/3377930.3389844
bibtex: '@inproceedings{Do_Bossek_Neumann_Neumann_2020, place={New York, NY, USA},
series={GECCO’20}, title={Evolving Diverse Sets of Tours for the Travelling Salesperson
Problem}, DOI={10.1145/3377930.3389844},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference},
publisher={Association for Computing Machinery}, author={Do, Anh Viet and Bossek,
Jakob and Neumann, Aneta and Neumann, Frank}, year={2020}, pages={681–689}, collection={GECCO’20}
}'
chicago: 'Do, Anh Viet, Jakob Bossek, Aneta Neumann, and Frank Neumann. “Evolving
Diverse Sets of Tours for the Travelling Salesperson Problem.” In Proceedings
of the Genetic and Evolutionary Computation Conference, 681–689. GECCO’20.
New York, NY, USA: Association for Computing Machinery, 2020. https://doi.org/10.1145/3377930.3389844.'
ieee: 'A. V. Do, J. Bossek, A. Neumann, and F. Neumann, “Evolving Diverse Sets of
Tours for the Travelling Salesperson Problem,” in Proceedings of the Genetic
and Evolutionary Computation Conference, 2020, pp. 681–689, doi: 10.1145/3377930.3389844.'
mla: Do, Anh Viet, et al. “Evolving Diverse Sets of Tours for the Travelling Salesperson
Problem.” Proceedings of the Genetic and Evolutionary Computation Conference,
Association for Computing Machinery, 2020, pp. 681–689, doi:10.1145/3377930.3389844.
short: 'A.V. Do, J. Bossek, A. Neumann, F. Neumann, in: Proceedings of the Genetic
and Evolutionary Computation Conference, Association for Computing Machinery,
New York, NY, USA, 2020, pp. 681–689.'
date_created: 2023-11-14T15:58:58Z
date_updated: 2023-12-13T10:48:50Z
department:
- _id: '819'
doi: 10.1145/3377930.3389844
extern: '1'
keyword:
- diversity maximisation
- evolutionary algorithms
- travelling salesperson problem
language:
- iso: eng
page: 681–689
place: New York, NY, USA
publication: Proceedings of the Genetic and Evolutionary Computation Conference
publication_identifier:
isbn:
- 978-1-4503-7128-5
publisher: Association for Computing Machinery
series_title: GECCO’20
status: public
title: Evolving Diverse Sets of Tours for the Travelling Salesperson Problem
type: conference
user_id: '102979'
year: '2020'
...
---
_id: '15493'
alternative_title:
- Interview mit Dr. Clara Mavellia EU Women
author:
- first_name: Ruth Edith
full_name: Hagengruber, Ruth Edith
id: '198'
last_name: Hagengruber
orcid: https://orcid.org/0000-0003-3360-6335
citation:
ama: Hagengruber RE. Frauen aus der Mitte Deutschlands. Konsens. Published
online 2019:43-44.
apa: Hagengruber, R. E. (2019). Frauen aus der Mitte Deutschlands. Konsens,
43–44.
bibtex: '@article{Hagengruber_2019, title={Frauen aus der Mitte Deutschlands}, journal={Konsens},
publisher={Deutscher Akademikerinnenbund}, author={Hagengruber, Ruth Edith}, year={2019},
pages={43–44} }'
chicago: Hagengruber, Ruth Edith. “Frauen aus der Mitte Deutschlands.” Konsens,
2019, 43–44.
ieee: R. E. Hagengruber, “Frauen aus der Mitte Deutschlands,” Konsens, pp.
43–44, 2019.
mla: Hagengruber, Ruth Edith. “Frauen aus der Mitte Deutschlands.” Konsens,
Deutscher Akademikerinnenbund, 2019, pp. 43–44.
short: R.E. Hagengruber, Konsens (2019) 43–44.
date_created: 2020-01-13T08:35:49Z
date_updated: 2022-12-09T01:28:38Z
department:
- _id: '519'
keyword:
- Interview
- Europe
- Women
- Diversity
language:
- iso: ger
page: 43-44
publication: Konsens
publication_identifier:
issn:
- 0930-6633
publisher: Deutscher Akademikerinnenbund
status: public
title: Frauen aus der Mitte Deutschlands
type: journal_article
user_id: '49063'
year: '2019'
...
---
_id: '4690'
author:
- first_name: Elena
full_name: Gorbacheva, Elena
last_name: Gorbacheva
- first_name: Armin
full_name: Stein, Armin
last_name: Stein
- first_name: Theresa
full_name: Schmiedel, Theresa
last_name: Schmiedel
- first_name: Oliver
full_name: Müller, Oliver
id: '72849'
last_name: Müller
citation:
ama: Gorbacheva E, Stein A, Schmiedel T, Müller O. The Role of Gender in Business
Process Management Competence Supply. Business and Information Systems Engineering.
2016;(3):213--231. doi:10.1007/s12599-016-0428-2
apa: Gorbacheva, E., Stein, A., Schmiedel, T., & Müller, O. (2016). The Role
of Gender in Business Process Management Competence Supply. Business and Information
Systems Engineering, (3), 213--231. https://doi.org/10.1007/s12599-016-0428-2
bibtex: '@article{Gorbacheva_Stein_Schmiedel_Müller_2016, title={The Role of Gender
in Business Process Management Competence Supply}, DOI={10.1007/s12599-016-0428-2},
number={3}, journal={Business and Information Systems Engineering}, author={Gorbacheva,
Elena and Stein, Armin and Schmiedel, Theresa and Müller, Oliver}, year={2016},
pages={213--231} }'
chicago: 'Gorbacheva, Elena, Armin Stein, Theresa Schmiedel, and Oliver Müller.
“The Role of Gender in Business Process Management Competence Supply.” Business
and Information Systems Engineering, no. 3 (2016): 213--231. https://doi.org/10.1007/s12599-016-0428-2.'
ieee: E. Gorbacheva, A. Stein, T. Schmiedel, and O. Müller, “The Role of Gender
in Business Process Management Competence Supply,” Business and Information
Systems Engineering, no. 3, pp. 213--231, 2016.
mla: Gorbacheva, Elena, et al. “The Role of Gender in Business Process Management
Competence Supply.” Business and Information Systems Engineering, no. 3,
2016, pp. 213--231, doi:10.1007/s12599-016-0428-2.
short: E. Gorbacheva, A. Stein, T. Schmiedel, O. Müller, Business and Information
Systems Engineering (2016) 213--231.
date_created: 2018-10-12T08:29:58Z
date_updated: 2022-01-06T07:01:18Z
doi: 10.1007/s12599-016-0428-2
extern: '1'
issue: '3'
keyword:
- BPM workforce
- Business process management
- Competences
- Gender diversity
- Latent semantic analysis
- Skills
- Text mining
language:
- iso: eng
page: 213--231
publication: Business and Information Systems Engineering
publication_identifier:
issn:
- '18670202'
status: public
title: The Role of Gender in Business Process Management Competence Supply
type: journal_article
user_id: '72849'
year: '2016'
...