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85 Publications


2020 | Journal Article | LibreCat-ID: 48848
Bossek J, Kerschke P, Trautmann H. A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms. Applied Soft Computing. 2020;88(C). doi:10.1016/j.asoc.2019.105901
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2020 | Journal Article | LibreCat-ID: 48836
Bartz-Beielstein T, Doerr C, van den Berg D, et al. Benchmarking in Optimization: Best Practice and Open Issues. Corr. Published online 2020.
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2020 | Conference Paper | LibreCat-ID: 46330
Seiler M, Pohl J, Bossek J, Kerschke P, Trautmann H. Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem. In: Bäck T, Preuss M, Deutz A, et al., eds. Proceedings of the 16$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XVI). ; 2020:48–64. doi:10.1007/978-3-030-58112-1_4
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2020 | Journal Article | LibreCat-ID: 46334
Bossek J, Kerschke P, Trautmann H. A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms. Applied Soft Computing. 2020;88:105901. doi:https://doi.org/10.1016/j.asoc.2019.105901
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2020 | Conference Paper | LibreCat-ID: 46322
Bossek J, Grimme C, Rudolph G, Trautmann H. Towards Decision Support in Dynamic Bi-Objective Vehicle Routing. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC). ; 2020:1–8. doi:10.1109/CEC48606.2020.9185778
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2020 | Conference Paper | LibreCat-ID: 46324
Bossek J, Kerschke P, Trautmann H. Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC). IEEE; 2020:1–8.
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2020 | Conference Paper | LibreCat-ID: 46323
Bossek J, Grimme C, Trautmann H. Dynamic Bi-Objective Routing of Multiple Vehicles. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’20). ACM; 2020:166–174.
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2019 | Conference Paper | LibreCat-ID: 48841
Bossek J, Grimme C, Meisel S, Rudolph G, Trautmann H. Bi-Objective Orienteering: Towards a Dynamic Multi-objective Evolutionary Algorithm. In: Deb K, Goodman E, Coello Coello CA, et al., eds. Evolutionary Multi-Criterion Optimization (EMO). Lecture Notes in Computer Science. Springer International Publishing; 2019:516–528. doi:10.1007/978-3-030-12598-1_41
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2019 | Conference Paper | LibreCat-ID: 48842
Bossek J, Kerschke P, Neumann A, Wagner M, Neumann F, Trautmann H. 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. FOGA ’19. Association for Computing Machinery; 2019:58–71. doi:10.1145/3299904.3340307
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2019 | Conference Paper | LibreCat-ID: 48843
Bossek J, Neumann F, Peng P, Sudholt D. Runtime Analysis of Randomized Search Heuristics for Dynamic Graph Coloring. In: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO ’19. Association for Computing Machinery; 2019:1443–1451. doi:10.1145/3321707.3321792
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2019 | Conference Paper | LibreCat-ID: 48840
Bossek J, Grimme C, Neumann F. On the Benefits of Biased Edge-Exchange Mutation for the Multi-Criteria Spanning Tree Problem. In: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO ’19. Association for Computing Machinery; 2019:516–523. doi:10.1145/3321707.3321818
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2019 | Conference Paper | LibreCat-ID: 48858
Bossek J, Grimme C. Solving Scalarized Subproblems within Evolutionary Algorithms for Multi-criteria Shortest Path Problems. In: Battiti R, Brunato M, Kotsireas I, Pardalos PM, eds. Learning and Intelligent Optimization. Lecture Notes in Computer Science. Springer International Publishing; 2019:184–198. doi:10.1007/978-3-030-05348-2_17
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2019 | Conference Paper | LibreCat-ID: 48870
Bossek J, Sudholt D. 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. FOGA ’19. Association for Computing Machinery; 2019:102–115. doi:10.1145/3299904.3340311
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2019 | Conference Paper | LibreCat-ID: 48875
Bossek J, Trautmann H. Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time. In: Battiti R, Brunato M, Kotsireas I, Pardalos PM, eds. Learning and Intelligent Optimization. Lecture Notes in Computer Science. Springer International Publishing; 2019:215–219. doi:10.1007/978-3-030-05348-2_19
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2019 | Journal Article | LibreCat-ID: 48877
Casalicchio G, Bossek J, Lang M, et al. OpenML: An R Package to Connect to the Machine Learning Platform OpenML. Computational Statistics. 2019;34(3):977–991. doi:10.1007/s00180-017-0742-2
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2019 | Conference Paper | LibreCat-ID: 46339
Bossek J, Kerschke P, Neumann A, Wagner M, Neumann F, Trautmann H. Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators. In: Friedrich T, Doerr C, Arnold D, eds. Proceedings of the 15$^th$ ACM/SIGEVO Workshop on Foundations of Genetic Algorithms (FOGA XV). ; 2019:58–71. doi:10.1145/3299904.3340307
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2019 | Conference Paper | LibreCat-ID: 46338
Bossek J, Grimme C, Meisel S, Rudolph G, Trautmann H. Bi-Objective Orienteering: Towards a Dynamic Multi-Objective Evolutionary Algorithm. In: Deb K, Goodman E, Coello CCA, et al., eds. Evolutionary Multi-Criterion Optimization (EMO). Vol 11411. Lecture Notes in Computer Science. Springer International Publishing; 2019:516–528. doi:10.1007/978-3-030-12598-1_41
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2019 | Conference Paper | LibreCat-ID: 46337
Bossek J, Trautmann H. Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time. In: Battiti R, Brunato M, Kotsireas I, Pardalos P, eds. Learning and Intelligent Optimization. Vol 11353. Lecture Notes in Computer Science. Springer; 2019:215–219.
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2018 | Conference Paper | LibreCat-ID: 48839
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
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2018 | Conference Paper | LibreCat-ID: 48867
Bossek J. Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package ecr. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO ’18. Association for Computing Machinery; 2018:1350–1356. doi:10.1145/3205651.3208312
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