• Computer Science

    • Algorithms
    • Multi-Objective Optimization
    • Multiobjective
    • Optimization Problem
    • Decision Space
    • Objective Space
    • Online Social Networks
    • Multimodality



On the┬áPotential of┬áMulti-objective Automated Algorithm Configuration on┬áMulti-modal Multi-objective Optimisation ProblemsIn Applications of Evolutionary Computation: 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3ÔÇô5, 2024, Proceedings, Part I (pp. 305-321). Preuß, O. L., Rook, J. & Trautmann, H.
Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSPIn 2023 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 361-368). IEEE. Seiler, M. V., Rook, J., Heins, J., Preuß, O. L., Bossek, J. & Trautmann, H.
Sparkle: Towards Accessible Meta-Algorithmics for Improving the State of the Art in Solving Challenging ProblemsIEEE Transactions on Evolutionary Computation, 26(6), 1351-1364. van der Blom, K., Hoos, H., Luo, C. & Rook, J. the potential of automated algorithm configuration on multi-modal multi-objective optimization problemsIn GECCO 2022 Companion: Proceedings of the 2022 Genetic and Evolutionary Computation Conference (pp. 356-359). Association for Computing Machinery. Rook, J., Trautmann, H., Bossek, J. & Grimme, C. Basin-Based Evaluation of┬áMultimodal Multi-objective Optimization ProblemsIn Parallel Problem Solving from Nature: PPSN XVII (pp. 192-206). Springer. Heins, J., Rook, J., Schäpermeier, L., Kerschke, P., Bossek, J. & Trautmann, H. Influence Analysis (SIA) in Online Social Networks. Leszkiewicz, A., Bucur, D., Grimme, C., Michalski, R., Clever, L., Pohl, J., Rook, J., Bossek, J., Preuss, M., Squillero, G., Quer, S., Calabrese, A., Iacca, G., Kizgin, D. H. & Trautmann, H.

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