Black-box optimization benchmarking of NIPOP-aCMA-ES and NBIPOP-aCMA-ES on the BBOB-2012 noiseless testbed

GECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation Companion

Volumn , Issue , 2012, Pages 269-276

  Loshchilov, Ilya ^a   Schoenauer, Marc ^a   Sebag, Michèle ^b  

^a INRIA SACLAY   (France)

^b CNRS   (France)

Author keywords

Benchmarking; Black box optimization; CMA ES; Evolution strategy; Restart strategies; Self adaptation

Indexed keywords

BENCHMARKING; BUDGET CONTROL; COVARIANCE MATRIX; EVOLUTIONARY ALGORITHMS; POPULATION STATISTICS;

ADAPTIVE ALLOCATION; BLACK-BOX OPTIMIZATION; EVOLUTION STRATEGIES; MULTI MODAL FUNCTION; POPULATION SIZES; RESTART STRATEGY; SEARCH SPACES; SELF ADAPTATION;

OPTIMIZATION;

EID: 84864984124     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2330784.2330823     Document Type: Conference Paper

References (13)

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. (Pubitemid 41496063)
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. S. García, D. Molina, M. Lozano, and F. Herrera. A study on the use of non-parametric tests for analyzing the evolutionary algorithms' behaviour: a case study on the CEC'2005 special session on real parameter optimization. Journal of Heuristics, 15:617-644, 2009.
4. N. Hansen. Compilation of results on the 2005 CEC benchmark function set. Online, May 2006.
5. 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.
6. N. Hansen, A. Auger, S. Finck, and R. Ros. Real-parameter black-box optimization benchmarking 2012: Experimental setup. Technical report, INRIA, 2012.
7. 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.
8. N. Hansen and S. Kern. Evaluating the cma evolution strategy on multimodal test functions. In PPSN'04, pages 282-291, 2004. (Pubitemid 39750229)
9. N. Hansen and A. Ostermeier. Completely derandomized self-adaptation in evolution strategies. Evolutionary Computation, 9(2):159-195, 2001.
10. N. Hansen and R. Ros. Benchmarking a weighted negative covariance matrix update on the BBOB-2010 noiseless testbed. In GECCO '10: Proceedings of the 12th annual conference comp on Genetic and evolutionary computation, pages 1673-1680, New York, NY, USA, 2010. ACM.
11. G. A. Jastrebski and D. V. Arnold. Improving evolution strategies through active covariance matrix adaptation. In IEEE Congress on Evolutionary Computation - CEC 2006, pages 2814-2821, 2006. (Pubitemid 47130851)
12. I. Loshchilov, M. Schoenauer, and M. Sebag. Alternative Restart Strategies for CMA-ES. In Proc. PPSN XII, page under review, 2012.
13. 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.