@inproceedings{14f95d791ef8412eb35a3691160fba18,
title = "Black-box optimization benchmarking of NEWUOA compared to BIPOP-CMA-ES: On the BBOB noiseless testbed",
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.",
keywords = "Benchmarking, Black-box optimization, Derivative-free optimization, Evolution strategy",
author = "Nikolaus Hansen and Raymond Ros",
year = "2010",
month = aug,
day = "30",
doi = "10.1145/1830761.1830768",
language = "English",
isbn = "9781450300735",
series = "Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 - Companion Publication",
pages = "1519--1526",
booktitle = "Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 - Companion Publication",
note = "12th Annual Genetic and Evolutionary Computation Conference, GECCO-2010 ; Conference date: 07-07-2010 Through 11-07-2010",
}