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204 Publications
2019 | Conference Paper | LibreCat-ID: 48841
J. Bossek, C. Grimme, S. Meisel, G. Rudolph, and H. Trautmann, “Bi-Objective Orienteering: Towards a Dynamic Multi-objective Evolutionary Algorithm,” in Evolutionary Multi-Criterion Optimization (EMO), 2019, pp. 516–528, doi: 10.1007/978-3-030-12598-1_41.
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 48842
J. Bossek, P. Kerschke, A. Neumann, M. Wagner, F. Neumann, and H. Trautmann, “Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators,” in Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2019, pp. 58–71, doi: 10.1145/3299904.3340307.
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 48843
J. Bossek, F. Neumann, P. Peng, and D. Sudholt, “Runtime Analysis of Randomized Search Heuristics for Dynamic Graph Coloring,” in Proceedings of the Genetic and Evolutionary Computation Conference, 2019, pp. 1443–1451, doi: 10.1145/3321707.3321792.
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 48840
J. Bossek, C. Grimme, and F. Neumann, “On the Benefits of Biased Edge-Exchange Mutation for the Multi-Criteria Spanning Tree Problem,” in Proceedings of the Genetic and Evolutionary Computation Conference, 2019, pp. 516–523, doi: 10.1145/3321707.3321818.
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 48858
J. Bossek and C. Grimme, “Solving Scalarized Subproblems within Evolutionary Algorithms for Multi-criteria Shortest Path Problems,” in Learning and Intelligent Optimization, 2019, pp. 184–198, doi: 10.1007/978-3-030-05348-2_17.
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 48870
J. Bossek and D. Sudholt, “Time Complexity Analysis of RLS and (1 + 1) EA for the Edge Coloring Problem,” in Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2019, pp. 102–115, doi: 10.1145/3299904.3340311.
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 48875
J. Bossek and H. Trautmann, “Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time,” in Learning and Intelligent Optimization, 2019, pp. 215–219, doi: 10.1007/978-3-030-05348-2_19.
LibreCat
| DOI
2019 | Journal Article | LibreCat-ID: 48877
G. Casalicchio et al., “OpenML: An R Package to Connect to the Machine Learning Platform OpenML,” Computational Statistics, vol. 34, no. 3, pp. 977–991, 2019, doi: 10.1007/s00180-017-0742-2.
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 46339
J. Bossek, P. Kerschke, A. Neumann, M. Wagner, F. Neumann, and H. Trautmann, “Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators,” in Proceedings of the 15$^th$ ACM/SIGEVO Workshop on Foundations of Genetic Algorithms (FOGA XV), 2019, pp. 58–71, doi: 10.1145/3299904.3340307.
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 46338
J. Bossek, C. Grimme, S. Meisel, G. Rudolph, and H. Trautmann, “Bi-Objective Orienteering: Towards a Dynamic Multi-Objective Evolutionary Algorithm,” in Evolutionary Multi-Criterion Optimization (EMO), 2019, vol. 11411, pp. 516–528, doi: 10.1007/978-3-030-12598-1_41.
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 46337
J. Bossek and H. Trautmann, “Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time,” in Learning and Intelligent Optimization, 2019, vol. 11353, pp. 215–219.
LibreCat
2018 | Conference Paper | LibreCat-ID: 46350
J. E. van Engelen, J. J. van Lier, F. W. Takes, and H. Trautmann, “Accurate WiFi based indoor positioning with continuous location sampling,” in Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (ECML/PKDD), 2018, pp. 524–540.
LibreCat
2018 | Journal Article | LibreCat-ID: 46351
M. Carnein and H. Trautmann, “evoStream — Evolutionary Stream Clustering Utilizing Idle Times,” Big Data Research, vol. 14, pp. 101–111, 2018, doi: 10.1016/j.bdr.2018.05.005.
LibreCat
| DOI
2018 | Journal Article | LibreCat-ID: 46353
L. Li, Y. Wang, H. Trautmann, N. Jing, and M. Emmerich, “Multiobjective evolutionary algorithms based on target region preferences,” Swarm and Evolutionary Computation, vol. 40, pp. 196–215, 2018, doi: 10.1016/j.swevo.2018.02.006.
LibreCat
| DOI
2018 | Conference Paper | LibreCat-ID: 48839
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.
LibreCat
| DOI
2018 | Conference Paper | LibreCat-ID: 48867
J. Bossek, “Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package ecr,” in Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018, pp. 1350–1356, doi: 10.1145/3205651.3208312.
LibreCat
| DOI
2018 | Conference Paper | LibreCat-ID: 48885
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.
LibreCat
| DOI
2018 | Journal Article | LibreCat-ID: 48884
P. Kerschke, L. Kotthoff, J. Bossek, H. H. Hoos, and H. Trautmann, “Leveraging TSP Solver Complementarity through Machine Learning,” Evolutionary Computation, vol. 26, no. 4, pp. 597–620, 2018, doi: 10.1162/evco_a_00215.
LibreCat
| DOI
2018 | Journal Article | LibreCat-ID: 48866
J. Bossek, “Grapherator: A Modular Multi-Step Graph Generator,” Journal of Open Source Software, vol. 3, no. 22, p. 528, 2018, doi: 10.21105/joss.00528.
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