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Black-Box Optimization Benchmarking of NEWUOA compared to BIPOP-CMA-ES
Abstract : In this paper, the performances of the NEW Unconstrained Optimization Algorithm (NEWUOA) on some noiseless functions are compared to those of the BI-POPulation Covariance Matrix Adaptation-Evolution Strategy (BIPOP-CMA-ES). The two algorithms were benchmarked on the BBOB 2009 noiseless function testbed. The comparison shows that NEWUOA outperforms BIPOP-CMA-ES on some functions like the Sphere or the Rosenbrock functions. Also the independent restart procedure used for NEWUOA allows it to perform better than BIPOP-CMA-ES on the Gallagher functions. Nevertheless, BIPOP-CMA-ES is faster and has a better success probability than NEWUOA in reaching target function values smaller than one on all other functions.
https://hal.inria.fr/inria-00473779
Contributor : Raymond Ros <>
Submitted on : Friday, April 16, 2010 - 4:58:49 PM
Last modification on : Tuesday, April 21, 2020 - 1:07:13 AM
Document(s) archivé(s) le : Tuesday, September 28, 2010 - 11:46:18 AM
Contributor : Raymond Ros <>
Submitted on : Friday, April 16, 2010 - 4:58:49 PM
Last modification on : Tuesday, April 21, 2020 - 1:07:13 AM
Document(s) archivé(s) le : Tuesday, September 28, 2010 - 11:46:18 AM
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ws1p14-ros.pdf
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