Transfer of Multi-objectively Tuned CMA-ES Parameters to a Vehicle Dynamics Problem
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Springer Nature Switzerland
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https://link.springer.com/content/pdf/10.1007/978-3-031-27250-9_39
Reference51 articles.
1. Ait Elhara, O., Auger, A., Hansen, N.: A median success rule for non-elitist evolution strategies: study of feasibility. In: Proceedings of the 15th Annual Conference on Genetic and Evolutionary Computation, GECCO 2013, Association for Computing Machinery, New York, pp. 415–422 (2013). https://doi.org/10.1145/2463372.2463429
2. Akiba, T., Sano, S., Yanase, T., Ohta, T., Koyama, M.: Optuna: a next-generation hyperparameter optimization framework. In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Association for Computing Machinery, New York, pp. 2623–2631 (2019). https://doi.org/10.1145/3292500.3330701
3. Andersson, M., Bandaru, S., Ng, A.H., Syberfeldt, A.: Parameter tuned CMA-ES on the CEC’15 expensive problems. In: 2015 IEEE Congress on Evolutionary Computation (CEC), pp. 1950–1957 (2015). https://doi.org/10.1109/CEC.2015.7257124
4. Bäck, T.: Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms. Oxford University Press Inc, Oxford (1996). https://doi.org/10.1093/oso/9780195099713.001.0001
5. Bäck, T., Foussette, C., Krause, P.: Contemporary Evolution Strategies. Natural Computing Series, 1st edn. Springer, Berlin (2013)
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