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Rook, Jeroen, et al. “On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems.”10.1145/3520304.3528998__Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, 2022, pp. 356–359, doi:10.1145/3520304.3528998.
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Bossek, Jakob, and Frank Neumann. “Evolutionary Diversity Optimization and the Minimum Spanning Tree Problem.”10.1145/3449639.3459363__Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2021, pp. 198–206, doi:10.1145/3449639.3459363.
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Bossek, Jakob, et al. “Time Complexity Analysis of Randomized Search Heuristics for the Dynamic Graph Coloring Problem.”10.1007/s00453-021-00838-3__Algorithmica, vol. 83, no. 10, 2021, pp. 3148–3179, doi:10.1007/s00453-021-00838-3.
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Bossek, Jakob, et al. “A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms.”https://doi.org/10.1016/j.asoc.2019.105901__Applied Soft Computing, vol. 88, 2020, p. 105901, doi:https://doi.org/10.1016/j.asoc.2019.105901.
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Bossek, Jakob, et al. “More Effective Randomized Search Heuristics for Graph Coloring through Dynamic Optimization.”10.1145/3377930.3390174__Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2020, pp. 1277–1285, doi:10.1145/3377930.3390174.
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Bossek, Jakob, et al. “Evolving Sampling Strategies for One-Shot Optimization Tasks.”10.1007/978-3-030-58112-1_8__Parallel Problem Solving from Nature (PPSN XVI), Springer-Verlag, 2020, pp. 111–124, doi:10.1007/978-3-030-58112-1_8.
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Bossek, Jakob, et al. “The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics.”10.1145/3377930.3390243__Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2020, pp. 1286–1294, doi:10.1145/3377930.3390243.
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Bossek, Jakob, et al. “Dynamic Bi-Objective Routing of Multiple Vehicles.”10.1145/3377930.3390146__Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2020, pp. 166–174, doi:10.1145/3377930.3390146.
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Bossek, Jakob, et al. “Initial Design Strategies and Their Effects on Sequential Model-Based Optimization: An Exploratory Case Study Based on BBOB.”10.1145/3377930.3390155__Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2020, pp. 778–786, doi:10.1145/3377930.3390155.
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Bossek, Jakob, et al. “A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms.”10.1016/j.asoc.2019.105901__Applied Soft Computing, vol. 88, no. C, 2020, doi:10.1016/j.asoc.2019.105901.
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Hippert, Benjamin, et al. “Portfolio Benefits of Adding Corporate Credit Default Swap Indices: Evidence from North America and Europe.”https://doi.org/10.1007/s11147-018-9148-8__Review of Derivatives Research , vol. 22, no. 2, 2019, pp. 203–59, doi:https://doi.org/10.1007/s11147-018-9148-8.
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Bossek, Jakob, et al. “Bi-Objective Orienteering: Towards a Dynamic Multi-Objective Evolutionary Algorithm.”10.1007/978-3-030-12598-1_41__Evolutionary Multi-Criterion Optimization (EMO), edited by Kalyanmoy Deb et al., Springer International Publishing, 2019, pp. 516–528, doi:10.1007/978-3-030-12598-1_41.
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