Mirrored variants of the (1,2)-CMA-ES compared on the noiseless BBOB-2010 testbed

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

Volumn , Issue , 2010, Pages 1551-1558

  Auger, Anne ^a   Brockhoff, Dimo ^a   Hansen, Nikolaus ^a  

^a INRIA SACLAY   (France)

Author keywords

Algorithms

Indexed keywords

DERANDOMIZATION; LOCAL SEARCH; SEARCH SPACES; STOCHASTIC ALGORITHMS; TARGET FUNCTIONS; TARGET VALUES; TEST FUNCTIONS; TOTAL BUDGET;

FUNCTION EVALUATION; TEST FACILITIES; TESTBEDS;

ALGORITHMS;

EID: 77955964334     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1830761.1830772     Document Type: Conference Paper

References (9)

1. A. Auger, D. Brockhoff, and N. Hansen. Mirrored sampling and sequential selection for evolution strategies. Rapport de Recherche RR-7249, INRIA Saclay - Île-de-France, April 2010.
2. A. Auger and N. Hansen. Performance evaluation of an advanced local search evolutionary algorithm. In Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2005), pages 1777-1784, 2005.
3. 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.
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, volume 3242 of LNCS, pages 282-291. Springer, 2004.
8. N. Hansen, S. D. Müller, and P. Koumoutsakos. Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation. Evolutionary Computation, 11(1):1-18, 2003.
9. 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.