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Volumn , Issue , 2009, Pages 151-156

Genetic algorithm with population partitioning and space reduction for high dimensional problems

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL EXPERIMENT; GENETIC OPERATIONS; HIGH-DIMENSIONAL PROBLEMS; MATRIX; NEW STRATEGY; POPULATION DIVERSITY; SEARCH PROCESS; SPACE REDUCTIONS; SUB-MATRICES; TERMINATION CRITERIA;

EID: 77950438410     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCES.2009.5383293     Document Type: Conference Paper
Times cited : (10)

References (12)
  • 3
    • 0041344305 scopus 로고    scopus 로고
    • Minimizing multimodal functions by simplex coding genetic algorithm
    • A. Hedar, and M. Fukushima. Minimizing multimodal functions by simplex coding genetic algorithm. Optimization Methods and Software, 18: 265-282, 2003.
    • (2003) Optimization Methods and Software , vol.18 , pp. 265-282
    • Hedar, A.1    Fukushima, M.2
  • 6
    • 77950451461 scopus 로고    scopus 로고
    • Genetic algorithms combined with accelerated mutation and automatic termination
    • A. Hedar, B.T. Ong and M. Fukushima. Genetic algorithms combined with accelerated mutation and automatic termination. Submitted.
    • Submitted
    • Hedar, A.1    Ong, B.T.2    Fukushima, M.3
  • 7
    • 0032136585 scopus 로고    scopus 로고
    • Tackling real-coded genetic algorithms: Operators and tools for behavioural analysis
    • F. Herrera, M. Lozano and J.L. Verdegay. Tackling real-coded genetic algorithms: Operators and tools for behavioural analysis. Artificial Intelligence Review, 12: 265-319, 1998.
    • (1998) Artificial Intelligence Review , vol.12 , pp. 265-319
    • Herrera, F.1    Lozano, M.2    Verdegay, J.L.3
  • 11
    • 84947927057 scopus 로고    scopus 로고
    • An adaptive evolutionary algorithms for numerical optimization
    • X. Yao, J.H. Kim, and T.Furuhashi, Eds. Berlin, Germany: Springer-Verlag
    • Z. J. Pan and L.S. Kang. An adaptive evolutionary algorithms for numerical optimization. In Simulated Evolutionary and Learning, Lecture Notes in Artificial Intelligence, X. Yao, J.H. Kim, and T.Furuhashi, Eds. Berlin, Germany: Springer-Verlag, pp.27-34, 1997.
    • (1997) Simulated Evolutionary and Learning, Lecture Notes in Artificial Intelligence , pp. 27-34
    • Pan, Z.J.1    Kang, L.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.