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Volumn 215, Issue 2, 2008, Pages 448-456

A hybrid optimization technique coupling an evolutionary and a local search algorithm

Author keywords

Genetic algorithm; Interior point method; Multiobjective optimization; Nonlinear programming

Indexed keywords

GENETIC ALGORITHMS; MULTIOBJECTIVE OPTIMIZATION; PROBLEM SOLVING; PROGRAM PROCESSORS; ROBUSTNESS (CONTROL SYSTEMS);

EID: 40849088337     PISSN: 03770427     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cam.2006.03.048     Document Type: Article
Times cited : (69)

References (13)
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    • Application of genetic algorithms to lubrication pump stacking design
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    • Kelner, V.1    Léonard, O.2
  • 9
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    • Reducing the size of the nondominated set: pruning by clustering
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  • 10
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    • D. Van Veldhuizen, G. Lamont. Multiobjective evolutionary algorithm research: a history and analysis, Technical Report TR-98-03, Department of Electrical and Computer Engineering, Graduate School of Engineering, Air Force Institute of Technology, Wright-Patterson AFB, Ohio, 1998.
    • D. Van Veldhuizen, G. Lamont. Multiobjective evolutionary algorithm research: a history and analysis, Technical Report TR-98-03, Department of Electrical and Computer Engineering, Graduate School of Engineering, Air Force Institute of Technology, Wright-Patterson AFB, Ohio, 1998.
  • 12
    • 0000157587 scopus 로고    scopus 로고
    • A novel hybrid genetic algorithm using local optimizer based on heuristic pattern move
    • Xu Y.G., Li G.R., and Wu Z.P. A novel hybrid genetic algorithm using local optimizer based on heuristic pattern move. Appl. Artif. Intell. 15 (2001) 601-631
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  • 13
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    • Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.