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90 Publications
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2019 | Conference Paper | LibreCat-ID: 46339
Bossek, Jakob, et al. “Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators.” Proceedings of the 15$^th$ ACM/SIGEVO Workshop on Foundations of Genetic Algorithms (FOGA XV), edited by Tobias Friedrich et al., 2019, pp. 58–71, doi:10.1145/3299904.3340307.
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2019 | Conference Paper | LibreCat-ID: 46338
Bossek, Jakob, et al. “Bi-Objective Orienteering: Towards a Dynamic Multi-Objective Evolutionary Algorithm.” Evolutionary Multi-Criterion Optimization (EMO), edited by Kalyanmoy Deb et al., vol. 11411, Springer International Publishing, 2019, pp. 516–528, doi:10.1007/978-3-030-12598-1_41.
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2019 | Conference Paper | LibreCat-ID: 46337
Bossek, Jakob, and Heike Trautmann. “Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time.” Learning and Intelligent Optimization, edited by R Battiti et al., vol. 11353, Springer, 2019, pp. 215–219.
LibreCat
2018 | Conference Paper | LibreCat-ID: 48839
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.
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2018 | Conference Paper | LibreCat-ID: 48867
Bossek, Jakob. “Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package Ecr.” Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, 2018, pp. 1350–1356, doi:10.1145/3205651.3208312.
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2018 | Conference Paper | LibreCat-ID: 48885
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.
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2018 | Book | LibreCat-ID: 48880
Grimme, Christian, and Jakob Bossek. Einführung in Die Optimierung - Konzepte, Methoden Und Anwendungen. Springer Vieweg, 2018, doi:10.1007/978-3-658-21151-6.
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2018 | Journal Article | LibreCat-ID: 48884
Kerschke, Pascal, et al. “Leveraging TSP Solver Complementarity through Machine Learning.” Evolutionary Computation, vol. 26, no. 4, 2018, pp. 597–620, doi:10.1162/evco_a_00215.
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2018 | Journal Article | LibreCat-ID: 48866
Bossek, Jakob. “Grapherator: A Modular Multi-Step Graph Generator.” Journal of Open Source Software, vol. 3, no. 22, 2018, p. 528, doi:10.21105/joss.00528.
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2018 | Conference Paper | LibreCat-ID: 46348
Bossek, Jakob, et al. “Local Search Effects in Bi-Objective Orienteering.” Proceedings of the Genetic and Evolutionary Computation Conference, ACM, 2018, pp. 585–592, doi:10.1145/3205455.3205548.
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2018 | Journal Article | LibreCat-ID: 46352
Kerschke, Pascal, et al. “Leveraging TSP Solver Complementarity through Machine Learning.” Evolutionary Computation (ECJ), vol. 26, no. 4, 2018, pp. 597–620, doi:10.1162/evco_a_00215.
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2018 | Conference Paper | LibreCat-ID: 46349
Kerschke, Pascal, et al. “Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers.” Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’18) Companion, 2018, pp. 1737–1744, doi:10.1145/3205651.3208233.
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2017 | Conference Paper | LibreCat-ID: 48863
Bossek, Jakob. “Ecr 2.0: A Modular Framework for Evolutionary Computation in R.” Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, 2017, pp. 1187–1193, doi:10.1145/3067695.3082470.
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2017 | Conference Paper | LibreCat-ID: 48857
Bossek, Jakob, and Christian Grimme. “A Pareto-Beneficial Sub-Tree Mutation for the Multi-Criteria Minimum Spanning Tree Problem.” 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017, pp. 1–8, doi:10.1109/SSCI.2017.8285183.
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2017 | Conference Paper | LibreCat-ID: 48856
Bossek, Jakob, and Christian Grimme. “An Extended Mutation-Based Priority-Rule Integration Concept for Multi-Objective Machine Scheduling.” 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017, pp. 1–8, doi:10.1109/SSCI.2017.8285224.
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2017 | Journal Article | LibreCat-ID: 48864
Bossek, Jakob. “McMST: A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem.” Journal of Open Source Software, vol. 2, no. 17, 2017, p. 374, doi:10.21105/joss.00374.
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2017 | Journal Article | LibreCat-ID: 48865
Bossek, Jakob. “Smoof: Single- and Multi-Objective Optimization Test Functions.” The R Journal, vol. 9, no. 1, 2017, pp. 103–113.
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2017 | Journal Article | LibreCat-ID: 48837
Bischl, Bernd, et al. “MlrMBO: A Modular Framework for Model-Based Optimization of Expensive Black-Box Functions.” CoRR, 2017.
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2016 | Conference Paper | LibreCat-ID: 48873
Bossek, Jakob, and Heike Trautmann. “Evolving Instances for Maximizing Performance Differences of State-of-the-Art Inexact TSP Solvers.” Learning and Intelligent Optimization, edited by Paola Festa et al., Springer International Publishing, 2016, pp. 48–59, doi:10.1007/978-3-319-50349-3_4.
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2016 | Conference Paper | LibreCat-ID: 48874
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.
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