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Volumn , Issue , 2010, Pages 487-494

Improved step size adaptation for the MO-CMA-ES

Author keywords

Covariance matrix adaptation; Evolution strategy; MO CMA ES; Multi objective optimization; Step size adaptation

Indexed keywords

BENCHMARK FUNCTIONS; COVARIANCE MATRIX ADAPTATION; COVARIANCE MATRIX ADAPTATION EVOLUTION STRATEGIES; EFFICIENT STRATEGY; EVOLUTION STRATEGIES; HYPERVOLUME; MO-CMA-ES; MULTI OBJECTIVE; PARAMETER ADAPTATION; PREMATURE CONVERGENCE; SELECTION BASED; SELECTION PROCEDURES; STEP SIZE; VECTOR VALUED;

EID: 77955877773     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1830483.1830573     Document Type: Conference Paper
Times cited : (69)

References (27)
  • 1
    • 72249110751 scopus 로고    scopus 로고
    • S-metric calculation by considering dominated hypervolume as Klee's measure problem
    • N. Beume. S-metric calculation by considering dominated hypervolume as Klee's measure problem. Evolutionary Computation, 17(4): 477-492, 2009.
    • (2009) Evolutionary Computation , vol.17 , Issue.4 , pp. 477-492
    • Beume, N.1
  • 2
    • 33947669974 scopus 로고    scopus 로고
    • SMS-EMOA: Multiobjective selection based on dominated hypervolume
    • N. Beume, B. Naujoks, andM. Emmerich. SMS-EMOA: Multiobjective selection based on dominated hypervolume. European Journal of Operational Research, 181(3): 1653-1669, 2007.
    • (2007) European Journal of Operational Research , vol.181 , Issue.3 , pp. 1653-1669
    • Beume, N.1    Naujoks, B.2    Emmerich, M.3
  • 3
    • 55749086397 scopus 로고    scopus 로고
    • Faster S-metric calculation by considering dominated hypervolume as Klee's measure problem
    • ACTA Press
    • N. Beume andG. Rudolph. Faster S-metric calculation by considering dominated hypervolume as Klee's measure problem. In IASTED International Conference on Computational Intelligence, pages 231-236. ACTA Press, 2006.
    • (2006) IASTED International Conference on Computational Intelligence , pp. 231-236
    • Beume, N.1    Rudolph, G.2
  • 4
    • 35248851504 scopus 로고    scopus 로고
    • PISA - A platform and programming language independent interface for search algorithms
    • C. M. Fonseca, P. J. Fleming, E. Zitzler, K. Deb, and L. Thiele, editors, Springer-Verlag
    • S. Bleuler, M. Laumanns, L. Thiele, andE. Zitzler. PISA - A platform and programming language independent interface for search algorithms. In C. M. Fonseca, P. J. Fleming, E. Zitzler, K. Deb, and L. Thiele, editors, Evolutionary Multi-Criterion Optimization (EMO 2003), volume 2632 of LNCS, pages 494 - 508. Springer-Verlag, 2003.
    • (2003) Evolutionary Multi-Criterion Optimization (EMO 2003), Volume 2632 of LNCS , pp. 494-508
    • Bleuler, S.1    Laumanns, M.2    Thiele, L.3    Zitzler, E.4
  • 5
    • 78650736508 scopus 로고    scopus 로고
    • Approximating the least hypervolume contributor: NP-Hard in General, but Fast in Practice
    • M. Ehrgott, C. M. Fonseca, X. Gandibleux, J.-K. Hao, and M. Sevaux, editors, Springer
    • K. Bringmann andT. Friedrich. Approximating the least hypervolume contributor: NP-Hard in General, But Fast in Practice. In M. Ehrgott, C. M. Fonseca, X. Gandibleux, J.-K. Hao, and M. Sevaux, editors, EMO, volume 5467 of Lecture Notes in Computer Science, pages 6-20. Springer, 2009.
    • (2009) EMO, Volume 5467 of Lecture Notes in Computer Science , pp. 6-20
    • Bringmann, K.1    Friedrich, T.2
  • 8
    • 29644438050 scopus 로고    scopus 로고
    • Statistical comparisons of classifiers over multiple data sets
    • J. Demšar. Statistical comparisons of classifiers over multiple data sets. Journal of Machine Learning Research, 7: 1-30, 2006.
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 1-30
    • Demšar, J.1
  • 9
    • 58149287952 scopus 로고    scopus 로고
    • An extension on "statistical comparisons of classifiers over multiple data sets" for all pairwise comparisons
    • S. Garcia andF. Herrera. An extension on "statistical comparisons of classifiers over multiple data sets" for all pairwise comparisons. Journal of Machine Learning Research, 9:2677-2694, 2008.
    • (2008) Journal of Machine Learning Research , vol.9 , pp. 2677-2694
    • Garcia, S.1    Herrera, F.2
  • 10
    • 70349270458 scopus 로고    scopus 로고
    • 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
    • S. Garcia, D. Molina, M. Lozano, andF. 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.
    • (2009) Journal of Heuristics , vol.15 , pp. 617-644
    • Garcia, S.1    Molina, D.2    Lozano, M.3    Herrera, F.4
  • 11
    • 0042879997 scopus 로고    scopus 로고
    • Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMA-ES)
    • N. Hansen, S. D. Müller, andP. Koumoutsakos. Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMA-ES). Evolutionary Computation, 11(1): 1-18, 2003.
    • (2003) Evolutionary Computation , vol.11 , Issue.1 , pp. 1-18
    • Hansen, N.1    Müller, S.D.2    Koumoutsakos, P.3
  • 12
    • 0035377566 scopus 로고    scopus 로고
    • Completely derandomized self-adaptation in evolution strategies
    • N. Hansen andA. Ostermeier. Completely derandomized self-adaptation in evolution strategies. Evolutionary Computation, 9(2): 159-195, 2001.
    • (2001) Evolutionary Computation , vol.9 , Issue.2 , pp. 159-195
    • Hansen, N.1    Ostermeier, A.2
  • 14
    • 34248143032 scopus 로고    scopus 로고
    • Covariance matrix adaptation for multi-objective optimization
    • C. Igel, N. Hansen, andS. Roth. Covariance matrix adaptation for multi-objective optimization. Evolutionary Computation, 15(1): 1-28, 2006.
    • (2006) Evolutionary Computation , vol.15 , Issue.1 , pp. 1-28
    • Igel, C.1    Hansen, N.2    Roth, S.3
  • 17
    • 4344707250 scopus 로고    scopus 로고
    • Learning probability distributions in continuous evolutionary algorithms - A comparative review
    • S. Kern, S. D. Müller, N. Hansen, D. Buche, J. Ocenasek, andP. Koumoutsakos. Learning probability distributions in continuous evolutionary algorithms - a comparative review. Natural Computing, 3:77-112, 2004.
    • (2004) Natural Computing , vol.3 , pp. 77-112
    • Kern, S.1    Müller, S.D.2    Hansen, N.3    Buche, D.4    Ocenasek, J.5    Koumoutsakos, P.6
  • 19
    • 62149099100 scopus 로고    scopus 로고
    • Efficient covariance matrix update for variable metric evolution strategies
    • T. Suttorp, N. Hansen, andC. Igel. Efficient covariance matrix update for variable metric evolution strategies. Machine Learning, 75(2): 167-197, 2009.
    • (2009) Machine Learning , vol.75 , Issue.2 , pp. 167-197
    • Suttorp, T.1    Hansen, N.2    Igel, C.3
  • 20
    • 49249151236 scopus 로고
    • The complexity of computing the permanent
    • L. G. Valiant. The complexity of computing the permanent. Theoretical Computer Science, 8: 189-201, 1979.
    • (1979) Theoretical Computer Science , vol.8 , pp. 189-201
    • Valiant, L.G.1
  • 21
  • 23
    • 24344451332 scopus 로고    scopus 로고
    • A new analysis of the LebMeasure algorithm for calculating hypervolume
    • C. A. Coello Coello, E. Zitzler, and A. Hernandez Aguirre, editors, Springer-Verlag
    • L. While. A new analysis of the LebMeasure algorithm for calculating hypervolume. In C. A. Coello Coello, E. Zitzler, and A. Hernandez Aguirre, editors, Third International Conference on Evolutionary Multi-Criterion Optimization (EMO 2005), volume 3410 of LNCS, pages 326-340. Springer-Verlag, 2005.
    • (2005) Third International Conference on Evolutionary Multi-Criterion Optimization (EMO 2005), Volume 3410 of LNCS , pp. 326-340
    • While, L.1
  • 24
    • 27144455867 scopus 로고    scopus 로고
    • Hypervolume metric calculation
    • Computer Engineering and Networks Laboratory, (TIK), Swiss Federal Institute of Technology (ETH) Zurich
    • E. Zitzler. Hypervolume metric calculation. Technical report, Computer Engineering and Networks Laboratory, (TIK), Swiss Federal Institute of Technology (ETH) Zurich, 2001.
    • (2001) Technical Report
    • Zitzler, E.1
  • 25
    • 0034199979 scopus 로고    scopus 로고
    • Comparison of multiobjective evolutionary algorithms: Empirical results
    • E. Zitzler, K. Deb, andL. Thiele. Comparison of multiobjective evolutionary algorithms: Empirical results. Evolutionary Computation, 8(2): 173-195, 2000.
    • (2000) Evolutionary Computation , vol.8 , Issue.2 , pp. 173-195
    • Zitzler, E.1    Deb, K.2    Thiele, L.3
  • 26
    • 84878545782 scopus 로고    scopus 로고
    • Multiobjective optimization using evolutionary algorithms -a comparative case study
    • A. E. Eiben, T. Back, M. Schoenauer, and H.-P. Schwefel, editors, Springer-Verlag
    • E. Zitzler andL. Thiele. Multiobjective optimization using evolutionary algorithms -a comparative case study. In A. E. Eiben, T. Back, M. Schoenauer, and H.-P. Schwefel, editors, Fifth International Conference on Parallel Problem Solving from Nature (PPSN- V), volume 1498 of LNCS, pages 292-301. Springer-Verlag, 1998.
    • (1998) Fifth International Conference on Parallel Problem Solving from Nature (PPSN- V), Volume 1498 of LNCS , pp. 292-301
    • Zitzler, E.1    Thiele, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.