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Volumn 4263 LNCS, Issue , 2006, Pages 95-104

Hybrid techniques for dynamic optimization problems

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC ALGORITHMS; OPTIMIZATION; PARAMETER ESTIMATION; VIRTUAL REALITY;

EID: 33845263607     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11902140_12     Document Type: Conference Paper
Times cited : (4)

References (12)
  • 3
    • 84901453819 scopus 로고    scopus 로고
    • Memory enhanced evolutionary algorithms for changing optimization problems
    • IEEE
    • J. Branke, Memory enhanced evolutionary algorithms for changing optimization problems, In Congress on Evolutionary Computation, volume 3, pages 1875-1882, IEEE, 1999.
    • (1999) Congress on Evolutionary Computation , vol.3 , pp. 1875-1882
    • Branke, J.1
  • 7
    • 0000893858 scopus 로고
    • Genetic algorithms for changing environments
    • North Holland
    • J. J. Gerfenstette, Genetic algorithms for changing environments, Parallel Problem Solving From Nature 2, pages 137-144. North Holland, 1992.
    • (1992) Parallel Problem Solving from Nature , vol.2 , pp. 137-144
    • Gerfenstette, J.J.1
  • 9
    • 4544245255 scopus 로고    scopus 로고
    • Real-coded memetic algorithms with crossover hill-climbing
    • M. Lozano, F. Herrera, N. Krasnogor, and D. Molina, Real-coded memetic algorithms with crossover hill-climbing, Evolutionary Computation, vol. 12, no. 3, pp. 273302, 2004
    • (2004) Evolutionary Computation , vol.12 , Issue.3 , pp. 273302
    • Lozano, M.1    Herrera, F.2    Krasnogor, N.3    Molina, D.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.