Black-box optimization benchmarking the IPOP-CMA-ES on the noiseless testbed: Comparison to the BIPOP-CMA-ES

Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 - Companion Publication

Volumn , Issue , 2010, Pages 1503-1510

  Ros, Raymond ^a  

^a INRIA SACLAY   (France)

Author keywords

Benchmarking; Black box optimization; Evolution strategy

Indexed keywords

BLACK-BOX OPTIMIZATION; COVARIANCE MATRIX ADAPTATION; EVOLUTION STRATEGIES; MULTI-MODAL; POPULATION SIZES; RESTART POLICY;

BENCHMARKING; BIOLOGY; COVARIANCE MATRIX; OPTIMIZATION; POPULATION STATISTICS; TEST FACILITIES; TESTBEDS;

EVOLUTIONARY ALGORITHMS;

EID: 77955964637     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1830761.1830766     Document Type: Conference Paper

References (10)

1. A. Auger and N. Hansen. A restart CMA evolution strategy with increasing population size. In Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2005), pages 1769-1776. IEEE Press, 2005.
2. S. Finck, N. Hansen, R. Ros, and A. Auger. Real-parameter black-box optimization benchmarking 2009: Presentation of the noiseless functions. Technical Report 2009/20, Research Center PPE, 2009. Updated February 2010.
3. N. Hansen. The CMA evolution strategy: a comparing review. In J. Lozano, P. Larranaga, I. Inza, and E. Bengoetxea, editors, Towards a new evolutionary computation. Advances on estimation of distribution algorithms, pages 75-102. Springer, 2006.
4. N. Hansen. Benchmarking a BI-population CMA-ES on the BBOB-2009 function testbed. In F. Rothlauf, editor, GECCO (Companion), pages 2389-2396. ACM, 2009.
5. N. Hansen, A. Auger, S. Finck, and R. Ros. Real-parameter black-box optimization benchmarking 2010: Experimental setup. Technical Report RR-7215, INRIA, 2010.
6. N. Hansen, S. Finck, R. Ros, and A. Auger. Real-parameter black-box optimization benchmarking 2009: Noiseless functions definitions. Technical Report RR-6829, INRIA, 2009. Updated February 2010.
7. N. Hansen and S. Kern. Evaluating the CMA evolution strategy on multimodal test functions. In X. Yao et al., editors, Parallel Problem Solving from Nature - PPSN VIII, LNCS 3242, pages 282-291. Springer, 2004.
8. N. Hansen, A. Niederberger, L. Guzzella, and P. Koumoutsakos. A method for handling uncertainty in evolutionary optimization with an application to feedback control of combustion. IEEE Transactions on Evolutionary Computation, 13(1):180-197, 2009.
9. N. Hansen and A. Ostermeier. Completely derandomized self-adaptation in evolution strategies. Evolutionary Computation, 9(2):159-195, 2001.
10. K. Price. Differential evolution vs. the functions of the second ICEO. In Proceedings of the IEEE International Congress on Evolutionary Computation, pages 153-157, 1997.