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Black-box optimization benchmarking the IPOP-CMA-ES on the noiseless testbed
2010
Proceedings of the 12th annual conference comp on Genetic and evolutionary computation - GECCO '10
We benchmark the Covariance Matrix Adaptation-Evolution Strategy (CMA-ES) algorithm with an Increasing POPulation size (IPOP) restart policy on the BBOB noiseless testbed. The IPOP-CMA-ES is compared to the BIPOP-CMA-ES and is shown to perform at best two times faster on multi-modal functions f15 to f19 whereas it does not solve weakly structured functions f22, f23 and f24.
doi:10.1145/1830761.1830766
dblp:conf/gecco/Ros10b
fatcat:gv65jj26ozaulpadrqtpddq5zm