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Benchmarking a BI-population CMA-ES on the BBOB-2009 function testbed
2009
Proceedings of the 11th annual conference companion on Genetic and evolutionary computation conference - GECCO '09
We propose a multistart CMA-ES with equal budgets for two interlaced restart strategies, one with an increasing population size and one with varying small population sizes. This BI-population CMA-ES is benchmarked on the BBOB-2009 noiseless function testbed and could solve 23, 22 and 20 functions out of 24 in search space dimensions 10, 20 and 40, respectively, within a budget of less than 10 6 D function evaluations per trial.
doi:10.1145/1570256.1570333
dblp:conf/gecco/Hansen09
fatcat:aphvj7hdsnh5dlcxoqzm75kj5u