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Volumn 39, Issue 6, 2007, Pages 829-832

Improved jumping gene genetic algorithm for multi-peak function optimization

Author keywords

Evolutionary algorithm; Function optimization; Genetic algorithm; Jumping gene; Multi peak function

Indexed keywords

BRAIN; CHROMOSOMES; COMPUTER SIMULATION; EVOLUTIONARY ALGORITHMS; FUNCTIONS; NEURONS; OPTIMIZATION; PROBABILITY DENSITY FUNCTION; RANDOM PROCESSES;

EID: 38349042021     PISSN: 10052615     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (3)

References (10)
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    • A modified genetic algorithm for optimal control problem
    • Michalewicz Z. A modified genetic algorithm for optimal control problem [J]. Computers Math Application, 1992, 23(12): 83-94.
    • (1992) Computers Math Application , vol.23 , Issue.12 , pp. 83-94
    • Michalewicz, Z.1
  • 3
    • 38349068841 scopus 로고    scopus 로고
    • Chinese source
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    • Chinese source
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    • Chinese source
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    • Chinese source
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    • 27844516612 scopus 로고    scopus 로고
    • A jumping gene algorithm for multiobjective resource management in wideband CDMA systems
    • Chan T M, Man K F, Tang K S, et al. A jumping gene algorithm for multiobjective resource management in wideband CDMA systems [J]. Computer Journal, 2005, 48(6): 749-768.
    • (2005) Computer Journal , vol.48 , Issue.6 , pp. 749-768
    • Chan, T.M.1    Man, K.F.2    Tang, K.S.3
  • 8
    • 33750705395 scopus 로고    scopus 로고
    • Multiobjective optimization of radio-to-fiber repeater placement using a jumping gene algorithm
    • Hong Kong: PRC
    • Chan T M, Man K F, Tang K S, et al. Multiobjective optimization of radio-to-fiber repeater placement using a jumping gene algorithm [C]//IEEE International Conference on Industrial Technology (ICIT). Hong Kong: PRC, 2005: 291-296.
    • (2005) IEEE International Conference on Industrial Technology (ICIT) , pp. 291-296
    • Chan, T.M.1    Man, K.F.2    Tang, K.S.3
  • 9
    • 33750291345 scopus 로고    scopus 로고
    • A real-coding jumping gene genetic algorithm (RJGGA) for multi-objective optimization
    • Ripon K S N, Kwong S, Man K F. A real-coding jumping gene genetic algorithm (RJGGA) for multi-objective optimization [J]. Information Sciences, 2007, 177(2): 632-654.
    • (2007) Information Sciences , vol.177 , Issue.2 , pp. 632-654
    • Ripon, K.S.N.1    Kwong, S.2    Man, K.F.3
  • 10
    • 33750738561 scopus 로고    scopus 로고
    • A jumping genes paradigm with fuzzy rules for optimizing digital IIR filters
    • Yeung S H, Man K F. A jumping genes paradigm with fuzzy rules for optimizing digital IIR filters [J]. ICONIP 2006, Part II, LNCS 4233, 2006(2): 568-577.
    • (2006) ICONIP 2006, Part II, LNCS 4233 , Issue.2 , pp. 568-577
    • Yeung, S.H.1    Man, K.F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.