Please note that LibreCat no longer supports Internet Explorer versions 8 or 9 (or earlier).

We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.

40 Publications


2024 | Journal Article | LibreCat-ID: 56221
Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization
A.E. Rodriguez-Fernandez, L. Schäpermeier, C. Hernández, P. Kerschke, H. Trautmann, O. Schütze, IEEE Transactions on Evolutionary Computation (2024) 1–1.
LibreCat | DOI
 

2023 | Conference Paper | LibreCat-ID: 48869
On the Impact of Basic Mutation Operators and Populations within Evolutionary Algorithms for the Dynamic Weighted Traveling Salesperson Problem
J. Bossek, A. Neumann, F. Neumann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2023, pp. 248–256.
LibreCat | DOI
 

2023 | Journal Article | LibreCat-ID: 48871
Do Additional Target Points Speed Up Evolutionary Algorithms?
J. Bossek, D. Sudholt, Theoretical Computer Science (2023) 113757.
LibreCat | DOI
 

2023 | Report | LibreCat-ID: 52127
Pushing the Limits of Computational Combinatorial Constructions (Dagstuhl Seminar 23161)
L. Moura, A. Nakic, P. Östergård, A. Wassermann, C. Weiß, Pushing the Limits of Computational Combinatorial Constructions (Dagstuhl Seminar 23161), Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2023.
LibreCat | DOI
 

2023 | Conference Paper | LibreCat-ID: 33490
Approaches to Improve Fairness when Deploying AI-based Algorithms in Hiring – Using a Systematic Literature Review to Guide Future Research
J. Rieskamp, L. Hofeditz, M. Mirbabaie, S. Stieglitz, in: Proceedings of the Annual Hawaii International Conference on System Sciences (HICSS), 2023.
LibreCat | Download (ext.)
 

2022 | Conference Paper | LibreCat-ID: 48894
Co-Evolutionary Diversity Optimisation for the Traveling Thief Problem
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.
LibreCat | DOI
 

2021 | Journal Article | LibreCat-ID: 22510
A continuous strategy for collisionless gathering
S. Li, C. Markarian, F. Meyer auf der Heide, P. Podlipyan, Theoretical Computer Science 852 (2021) 41–60.
LibreCat | DOI
 

2021 | Journal Article | LibreCat-ID: 22511
The impact of the Gabriel subgraph of the visibility graph on the gathering of mobile autonomous robots
S. Li, F. Meyer auf der Heide, P. Podlipyan, Theoretical Computer Science 852 (2021) 29–40.
LibreCat | DOI
 

2021 | Journal Article | LibreCat-ID: 46318
Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization
C. Grimme, P. Kerschke, P. Aspar, H. Trautmann, M. Preuss, A.H. Deutz, H. Wang, M. Emmerich, Computers & Operations Research 136 (2021) 105489.
LibreCat | DOI
 

2021 | Conference Paper | LibreCat-ID: 48853
Breeding Diverse Packings for the Knapsack Problem by Means of Diversity-Tailored Evolutionary Algorithms
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.
LibreCat | DOI
 

2021 | Conference Paper | LibreCat-ID: 48860
Evolutionary Diversity Optimization and the Minimum Spanning Tree Problem
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.
LibreCat | DOI
 

2021 | Book Chapter | LibreCat-ID: 48862
Do Additional Optima Speed up Evolutionary Algorithms?
J. Bossek, D. Sudholt, 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.
LibreCat
 

2021 | Conference Paper | LibreCat-ID: 48876
Generating Instances with Performance Differences for More than Just Two Algorithms
J. Bossek, M. Wagner, in: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2021, pp. 1423–1432.
LibreCat | DOI
 

2021 | Conference Paper | LibreCat-ID: 48893
Entropy-Based Evolutionary Diversity Optimisation for the Traveling Salesperson Problem
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.
LibreCat | DOI
 

2021 | Conference Paper | LibreCat-ID: 48891
Diversifying Greedy Sampling and Evolutionary Diversity Optimisation for Constrained Monotone Submodular Functions
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.
LibreCat | DOI
 

2021 | Book Chapter | LibreCat-ID: 48892
Computing Diverse Sets of High Quality TSP Tours by EAX-based Evolutionary Diversity Optimisation
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.
LibreCat
 

2021 | Journal Article | LibreCat-ID: 48854
Time Complexity Analysis of Randomized Search Heuristics for the Dynamic Graph Coloring Problem
J. Bossek, F. Neumann, P. Peng, D. Sudholt, Algorithmica 83 (2021) 3148–3179.
LibreCat | DOI
 

2020 | Conference Paper | LibreCat-ID: 48847
More Effective Randomized Search Heuristics for Graph Coloring through Dynamic Optimization
J. Bossek, F. Neumann, P. Peng, D. Sudholt, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2020, pp. 1277–1285.
LibreCat | DOI
 

2020 | Conference Paper | LibreCat-ID: 48851
The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics
J. Bossek, K. Casel, P. Kerschke, F. Neumann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2020, pp. 1286–1294.
LibreCat | DOI
 

2020 | Conference Paper | LibreCat-ID: 48845
Dynamic Bi-Objective Routing of Multiple Vehicles
J. Bossek, C. Grimme, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2020, pp. 166–174.
LibreCat | DOI
 

Filters and Search Terms

keyword="algorithms"

Search

Filter Publications

Display / Sort

Export / Embed