메뉴 건너뛰기




Volumn 2, Issue , 2006, Pages 1233-1240

On the utility of the multimodal problem generator for assessing the performance of evolutionary algorithms

Author keywords

Experimental research; Test problems

Indexed keywords

DECISION MAKING; MATHEMATICAL MODELS; MODAL ANALYSIS; PROBLEM SOLVING; STATISTICS;

EID: 33750237838     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1143997.1144191     Document Type: Conference Paper
Times cited : (9)

References (14)
  • 1
    • 84947911249 scopus 로고    scopus 로고
    • Cellular evolutionary algorithms: Evaluating the influence of ratio
    • H.-P. Schwefel et al., editors, . Springer-Verlag
    • E. Alba and J. M. Troya. Cellular evolutionary algorithms: Evaluating the influence of ratio. In H.-P. Schwefel et al., editors, Parallel Problem Solving from Nature - PPSN VI 6th International Conference, pages 29-38. Springer-Verlag, 2000.
    • (2000) Parallel Problem Solving from Nature - PPSN VI 6th International Conference , pp. 29-38
    • Alba, E.1    Troya, J.M.2
  • 3
    • 35048863830 scopus 로고    scopus 로고
    • Evolutionary algorithms with on-the-fly population size adjustment
    • X. Yao et al., editors, . Springer
    • A. E. Eiben, E. Marchiori, and V. A. Valko. Evolutionary algorithms with on-the-fly population size adjustment. In X. Yao et al., editors, Parallel Problem Solving from Nature PPSN VIII, LNCS 3242, pages 41-50. Springer, 2004.
    • (2004) Parallel Problem Solving from Nature PPSN VIII, LNCS , vol.3242 , pp. 41-50
    • Eiben, A.E.1    Marchiori, E.2    Valko, V.A.3
  • 4
    • 0000510934 scopus 로고
    • Genetic algorithms, noise, and the sizing of populations
    • D. E. Goldberg, K. Deb, and J. H. Clark. Genetic algorithms, noise, and the sizing of populations. Complex Systems, 6:333-362, 1992.
    • (1992) Complex Systems , vol.6 , pp. 333-362
    • Goldberg, D.E.1    Deb, K.2    Clark, J.H.3
  • 6
    • 0033185794 scopus 로고    scopus 로고
    • The gambler's ruin problem, genetic algorithms, and the sizing of populations
    • G. Harik, E. Cantú-Paz, D. E. Goldberg, and B. L. Miller. The gambler's ruin problem, genetic algorithms, and the sizing of populations. Evolutionary Computation, 7(3):231-253, 1999.
    • (1999) Evolutionary Computation , vol.7 , Issue.3 , pp. 231-253
    • Harik, G.1    Cantú-Paz, E.2    Goldberg, D.E.3    Miller, B.L.4
  • 8
    • 0031674071 scopus 로고    scopus 로고
    • Matching algorithms to problems: An experimental test of the particle swarm and some genetic algorithms on the multimodal problem generator
    • Piscataway, NJ. IEEE Press
    • J. Kennedy and W. M. Spears. Matching algorithms to problems: An experimental test of the particle swarm and some genetic algorithms on the multimodal problem generator. In Proceedings of 1998 IEEE International Conference on Evolutionary Computation, pages 78-83, Piscataway, NJ, 1998. IEEE Press.
    • (1998) Proceedings of 1998 IEEE International Conference on Evolutionary Computation , pp. 78-83
    • Kennedy, J.1    Spears, W.M.2
  • 9
    • 0005386585 scopus 로고    scopus 로고
    • Iterated local search
    • F. Glover and G. Kochenberger, editors, Norwell, MA. Kluwer Academic Publishers
    • H. R. Lourenco, O. Martin, and T. Stützle. Iterated local search. In F. Glover and G. Kochenberger, editors, Handbook of Metaheuristics, pages 321-353, Norwell, MA, 2002. Kluwer Academic Publishers.
    • (2002) Handbook of Metaheuristics , pp. 321-353
    • Lourenco, H.R.1    Martin, O.2    Stützle, T.3
  • 10
    • 0002091030 scopus 로고
    • How genetic algorithms really work: I.Mutation and Hillclimbing
    • R. Männer and B. Manderick, editors, Amsterdam, The Netherlands. Elsevier Science
    • H. Mühlenbein. How genetic algorithms really work: I.Mutation and Hillclimbing. In R. Männer and B. Manderick, editors, Parallel Problem Solving from Nature 2, pages 15-25, Amsterdam, The Netherlands, 1992. Elsevier Science.
    • (1992) Parallel Problem Solving from Nature , vol.2 , pp. 15-25
    • Mühlenbein, H.1
  • 11
    • 0003140039 scopus 로고
    • Predictive models for the breeder genetic algorithm: I. Continuous parameter optimization
    • H. Mühlenbein and D. Schlierkamp-Voosen. Predictive models for the breeder genetic algorithm: I. Continuous parameter optimization. Evolutionary Computation, 1(1):25-49, 1993.
    • (1993) Evolutionary Computation , vol.1 , Issue.1 , pp. 25-49
    • Mühlenbein, H.1    Schlierkamp-Voosen, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.