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Volumn , Issue , 2007, Pages 3938-3943

A novel genetic algorithm for the Layout Optimization Problem

Author keywords

[No Author keywords available]

Indexed keywords

EXECUTION TIME; NATURE-INSPIRED METHODS;

EID: 67649667936     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2007.4424984     Document Type: Conference Paper
Times cited : (29)

References (14)
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  • 2
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  • 3
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    • Wang, H.1    Huang, W.2    Zhang, Q.3    Xu, D.4
  • 5
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    • Human-computer interactive genetic algorithm and its application to constrained layout optimization
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  • 6
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    • Tang, F.1    Teng, H.2
  • 7
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    • Learning based GA and application in packing
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    • Yu, Y.1    Cha, J.2    Tang, X.3
  • 8
    • 4544322651 scopus 로고    scopus 로고
    • A study on the particle swarm optimization with mutation operator constrained layout optimization
    • N. Li, F. Liu, and D. Sun, "A study on the particle swarm optimization with mutation operator constrained layout optimization," Chinese Journal of Computers, vol. 27, no. 7, pp. 897-903, 2004.
    • (2004) Chinese Journal of Computers , vol.27 , Issue.7 , pp. 897-903
    • Li, N.1    Liu, F.2    Sun, D.3
  • 9
    • 14744294213 scopus 로고    scopus 로고
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  • 12
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    • An improved BL-algorithm for genetic algorithm of the orthogonal packing of rectangles
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.