Methods/Contributions
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-30609-9_3
Reference83 articles.
1. F. Rehbach, M. Zaefferer, A. Fischbach, G. Rudolph, T. Bartz-Beielstein, Benchmark-driven configuration of a parallel model-based optimization algorithm. IEEE Trans. Evolut. Comput. 1 (2022)
2. D. Whitley, S. Rana, J. Dzubera, K.E. Mathias, Evaluating evolutionary algorithms. Artif. Intell. 85(1–2), 245–276 (1996)
3. F. Rehbach, M. Zaefferer, J. Stork, T. Bartz-Beielstein, Comparison of parallel surrogate-assisted optimization approaches, in Proceedings of the Genetic and Evolutionary Computation Conference - GECCO 18 (ACM Press, 2018), pp. 1348–1355
4. B. Bischl, S. Wessing, N. Bauer, K. Friedrichs, C. Weihs, Moi-mbo: multiobjective infill for parallel model-based optimization, in International Conference on Learning and Intelligent Optimization (Springer, 2014), pp. 173–186
5. G. De Ath, R.M. Everson, J.E. Fieldsend, A.A.M. Rahat, $$\epsilon $$-shotgun: $$\epsilon $$-greedy batch bayesian optimisation, in Proceedings of the 2020 Genetic and Evolutionary Computation Conference, GECCO ’20 (Association for Computing Machinery, New York, 2020), pp. 787–795
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