Cumulative step length adaptation on ridge functions

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4193 LNCS, Issue , 2006, Pages 11-20

  Arnold, Dirk V ^a  

^a DALHOUSIE UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; OPTIMIZATION; PARALLEL PROCESSING SYSTEMS; TOPOLOGY;

EVOLUTION STRATEGIES; MULTIRECOMBINATION EVOLUTION STRATEGIES; OPTIMIZATION STRATEGIES; RIDGE FUNCTIONS;

FUNCTION EVALUATION;

EID: 33750257604     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11844297_2     Document Type: Conference Paper

References (13)

1. D. V. Arnold and H.-G. Beyer. Evolution strategies with cumulative step length adaptation on the noisy parabolic ridge. Technical Report CS-2006-02, Faculty of Computer Science, Dalhousie University, 2006. Available at http://www.cs.dal.ca/research/techreports/2006/CS-2006-02.shtml.
2. D. V. Arnold and A. MacLeod. Hierarchically organised evolution strategies on the parabolic ridge. In M. Keijzer et al., editors, Proceedings of the 2006 Genetic and Evolutionary Computation Conference. ACM Press, New York, 2006.
3. H.-G. Beyer. On the performance of (1, λ)-evolution strategies for the ridge function class. IEEE Transactions on Evolutionary Computation, 5(3):218-235, 2001.
4. H.-G. Beyer. The Theory of Evolution Strategies. Springer, Heidelberg, 2001.
5. H.-G. Beyer and H.-P. Schwefel. Evolution strategies - A comprehensive introduction. Natural Computing, 1(1):3-52, 2002.
6. H. A. David and H. N. Nagaraja. Concomitants of order statistics. In N. Balakrishnan and C. R. Rao, editors, Handbook of Statistics, volume 16, pages 487-513. Elsevier, Amsterdam, 1998.
7. N. Hansen and A. Ostermeier. Completely derandomized self-adaptation in evolution strategies. Evolutionary Computation, 9(2):159-195, 2001.
8. M. Herdy. Reproductive isolation as strategy parameter in hierarchically organized evolution strategies. In R. Männer et al., editors, Parallel Problem Solving from Nature - PPSN II, pages 207-217. Elsevier, Amsterdam, 1992.
9. A. Ostermeier, A. Gawelczyk, and N. Hansen. Step-size adaptation based on non-local use of selection information. In Y. Davidor et al., editors, Parallel Problem Solving from Nature - PPSN III, pages 189-198. Springer, Heidelberg, 1994.
10. A. I. Oyman and H.-G. Beyer. Analysis of the (μ/μ, λ)-ES on the parabolic ridge. Evolutionary Computation, 8(3):267-289, 2000.
11. A. I. Oyman, H.-G. Beyer, and H.-P. Schwefel. Where elitists start limping: Evolution strategies at ridge functions. In A. E. Eiben et al., editors, Parallel Problem Solving from Nature - PPSN V, pages 109-118. Springer, Heidelberg, 1998.
12. A. I. Oyman, H.-G. Beyer, and H.-P. Schwefel. Analysis of the (1, λ)-ES on the parabolic ridge. Evolutionary Computation, 8(3):249-265, 2000.
13. D. Whitley, M. Lunacek, and J. Knight. Ruffled by ridges: How evolutionary algorithms can fail. In K. Deb et al., editors, Genetic and Evolutionary Computation - GECCO 2004, pages 294-306. Springer, Heidelberg, 2004.