Benchmarking a weighted negative covariance matrix update on the BBOB-2010 noiseless testbed

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

Volumn , Issue , 2010, Pages 1673-1680

  Hansen, Nikolaus ^a   Ros, Raymond ^a  

^a INRIA SACLAY   (France)

Author keywords

Active CMA ES; Benchmarking; Black box optimization; CMA ES; IPOP CMA ES

Indexed keywords

ACTIVE CMA-ES; BENCHMARK FUNCTIONS; BLACK-BOX OPTIMIZATION; CMA-ES; IPOP-CMA-ES; UNIMODAL FUNCTIONS;

BENCHMARKING; OPTIMIZATION; TEST FACILITIES; TESTBEDS;

COVARIANCE MATRIX;

EID: 77955962962     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1830761.1830788     Document Type: Conference Paper

References (17)

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. A. Auger, N. Hansen, J. Perez Zerpa, R. Ros, and M. Schoenauer. Experimental comparisons of derivative free optimization algorithms. In J. Vahrenhold, editor, 8th International Symposium on Experimental Algorithms, volume 5526 of LNCS, pages 3-15. Springer, 2009.
3. H.-G. Beyer. Evolution strategies. Scholarpedia, 2(8):1965, 2007.
4. 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.
5. 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(6):617-644, 2009.
6. N. Hansen. Benchmarking a BI-population CMA-ES on the BBOB-2009 function testbed. In Rothlauf [17], pages 2389-2396.
7. N. Hansen, A. Auger, S. Finck, and R. Ros. Real-parameter black-box optimization benchmarking 2010: Experimental setup. Technical Report RR-7215, INRIA, 2010.
8. N. Hansen, A. Auger, R. Ros, S. Finck, and P. Pošík. Comparing results of 31 algorithms from the black-box optimization benchmarking BBOB-2009. In J. Branke, editor, GECCO (Companion). ACM, 2010.
9. 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.
10. 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.
11. N. Hansen, S. Muller, and P. Koumoutsakos. Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMA-ES). Evolutionary Computation, 11(1):1-18, 2003.
12. N. Hansen and A. Ostermeier. Completely derandomized self-adaptation in evolution strategies. Evolutionary Computation, 9(2):159-195, 2001.
13. C. Igel, T. Suttorp, and N. Hansen. A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategies. In Proceedings of t he 8th annual conference on genetic and evolutionary computation GECCO, pages 453-460. ACM, 2006.
14. G. Jastrebski and D. Arnold. Improving evolution strategies through active covariance matrix adaptation. In IEEE Congress on Evolutionary Computation, CEC 2006, Proceedings, pages 2814-2821. IEEE, 2006.
15. S. Kern, S. Müller, N. Hansen, D. Büche, J. Ocenasek, and P. Koumoutsakos. Learning probability distributions in continuous evolutionary algorithms-a comparative review. Natural Computing, 3(1):77-112, 2004.
16. K. Price. Differential evolution vs. the functions of the second ICEO. In Proc. of the IEEE International Congress on Evolutionary Computation, pages 153-157, 1997.
17. F. Rothlauf, editor. Genetic and Evolutionary Computation Conference, GECCO 2009, Proceedings, Montreal, Québec, Canada, July 8-12, 2009, Companion Material. ACM, 2009.