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Volumn 4, Issue , 2002, Pages 89-94

Improving Genetic Algorithms: An approach based on multi-elitism and Lamarckian mutation

Author keywords

Fuzzy Control; Hybrid Genetic Algorithms; Lamarckian Evolution; Multi Elitism

Indexed keywords

BENCHMARKING; COMPUTER SIMULATION; FUZZY CONTROL; SEARCH ENGINES;

EID: 0036971647     PISSN: 08843627     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (17)
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  • 4
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    • Optimizing global-local search hybrids
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    • Tackling multimodal problems in hybrid genetic algorithms
    • University of Illinois, Urbana, IL
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    • Goldberg, D.E.1    Parthasarathy, P.V.2    Burns, S.A.3
  • 6
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    • Optimizing global-local search hybrids
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  • 8
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  • 11
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    • Implementation of evolutionary fuzzy systems
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  • 15
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    • Sim Y.C., S. B. Leng, and V. Subramaniam, "A combined genetic algorithms-shooting method approach to solving optimal control problems", Int. J. of System Science, vol. 31, no. 1, pp. 83-89, 2000.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.