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Volumn , Issue , 2009, Pages 70-77

An agent-based memetic algorithm (AMA) for nonlinear optimization with equality constraints

Author keywords

[No Author keywords available]

Indexed keywords

AGENT BASED; BASIC CONCEPTS; BENCH-MARK PROBLEMS; EQUALITY CONSTRAINTS; EVOLUTIONARY PROCESS; INDIVIDUAL AGENT; LEARNING PROCESS; MEMETIC ALGORITHMS; NON-LINEAR OPTIMIZATION; NON-LINEAR OPTIMIZATION PROBLEMS;

EID: 70449737866     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2009.4982932     Document Type: Conference Paper
Times cited : (8)

References (23)
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  • 6
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    • Deb, K.1    Agrawal, R.B.2
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    • 0036622275 scopus 로고    scopus 로고
    • Supporting evolution in a multi-agent cooperative design environment
    • H. Liu and J. H. Frazer, "Supporting evolution in a multi-agent cooperative design environment," Advances in Engineering Software, vol.33, pp. 319-328, 2002.
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    • Liu, H.1    Frazer, J.H.2
  • 15
    • 67650985922 scopus 로고    scopus 로고
    • A hybrid multiagent approach for global trajectory optimization
    • M. Vasile and M. Locatelli, "A hybrid multiagent approach for global trajectory optimization," Journal of Global Optimization, 2008.
    • (2008) Journal of Global Optimization
    • Vasile, M.1    Locatelli, M.2
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    • Multiagent architecture for monitoring the North-Atlantic carbon dioxide exchange rate
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  • 18
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    • Evolutionary algorithms for constrained parameter optimization problems
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    • Michalewicz, Z.1
  • 20
    • 0033094194 scopus 로고    scopus 로고
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    • S. Koziel and Z. Michalewicz, "Evolutionary algorithms, homomorphous mappings, and constrained parameter optimization," Evolutionary Computation, vol.7, 1999.
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  • 23
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    • An efficient constraint handling method for genetic algorithms
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.