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Volumn 87, Issue , 2011, Pages 253-262

An interactive genetic algorithm for the unequal area facility layout problem

Author keywords

[No Author keywords available]

Indexed keywords

DECISION MAKING; GENETIC ALGORITHMS; ITERATIVE METHODS; PLANT LAYOUT;

EID: 80052946514     PISSN: 18675662     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-19644-7_27     Document Type: Conference Paper
Times cited : (12)

References (24)
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  • 4
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    • An interactive genetic algorithm-based framework for handling qualitative criteria in design optimization
    • Brintup, A.M., Ramsden, J., Tiwari, A.: An interactive genetic algorithm-based framework for handling qualitative criteria in design optimization. Computers in Industry 58, 279-291 (2007)
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    • Brintup, A.M.1    Ramsden, J.2    Tiwari, A.3
  • 5
    • 59349093577 scopus 로고    scopus 로고
    • Evaluation of sequential, multiobjective, and parallel interactive genetic algorithms for multi-objective optimization problems
    • Brintup, A.M., Takagi, H., Tiwari, A., Ramsden, J.: Evaluation of sequential, multiobjective, and parallel interactive genetic algorithms for multi-objective optimization problems. Journal of Biological Physics and Chemistry 6, 137-146 (2006)
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    • Brintup, A.M.1    Takagi, H.2    Tiwari, A.3    Ramsden, J.4
  • 8
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    • Interactive genetic algorithms with individual fitness not assigned by human
    • Gong, D., Yao, X., Yuan, J.: Interactive genetic algorithms with individual fitness not assigned by human. Journal of Universal Computer Science 15, 2446-2462 (2009)
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  • 10
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    • An interactive desirability function method to multiresponse optimization
    • Jeong, I., Kim, K.: An interactive desirability function method to multiresponse optimization. European Journal of Operational Research 195(2), 412-426 (2009)
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    • Jeong, I.1    Kim, K.2
  • 11
    • 15244358441 scopus 로고    scopus 로고
    • Optimized design of MEMS by evolutionary multi-objective optimization with interactive evolutionary computation
    • Deb, K., et al. (eds. Springer, Heidelberg
    • Kamalian, R.R., Takagi, H., Agogino, A.M.: Optimized design of MEMS by evolutionary multi-objective optimization with interactive evolutionary computation. In: Deb, K., et al. (eds.) GECCO 2004. LNCS, vol. 3103, pp. 1030-1041. Springer, Heidelberg (2004)
    • (2004) GECCO 2004. LNCS , vol.3103 , pp. 1030-1041
    • Kamalian, R.R.1    Takagi, H.2    Agogino, A.M.3
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    • Incorporating preference information in interactive reference point methods for multiobjective optimization
    • Luque, M., Miettinen, K., Eskelinen, P., Ruiz, F.: Incorporating preference information in interactive reference point methods for multiobjective optimization. Omega 37(2), 450-462 (2009)
    • (2009) Omega , vol.37 , Issue.2 , pp. 450-462
    • Luque, M.1    Miettinen, K.2    Eskelinen, P.3    Ruiz, F.4
  • 19
    • 0034825216 scopus 로고    scopus 로고
    • Idset: Interactive design system using evolutionary techniques
    • Sato, T., Hagiwara, M.: Idset: Interactive design system using evolutionary techniques. Computer-Aided Design 33(5), 367-377 (2001)
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    • Wong, K.Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.