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Volumn 1, Issue , 2006, Pages 1910-1914

An improved multi-population genetic algorithm for constrained nonlinear optimization

Author keywords

And optimization technique; Constrained optimization; Multi population genetic algorithm; Penalty parameter

Indexed keywords

CONSTRAINED OPTIMIZATION; FUNCTION EVALUATION; INFORMATION ANALYSIS; PARAMETER ESTIMATION; PROBLEM SOLVING;

EID: 34047201191     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCICA.2006.1712688     Document Type: Conference Paper
Times cited : (6)

References (12)
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    • 34047231307 scopus 로고    scopus 로고
    • Z. Miohalewicz, Genetic algorithms + Data Structures = Evolution Programs, Spring Verlag Berlin Heidelberg, 1996, Chinese Version, 2002
    • Z. Miohalewicz, Genetic algorithms + Data Structures = Evolution Programs, Spring Verlag Berlin Heidelberg, 1996, Chinese Version, 2002
  • 2
    • 0037016631 scopus 로고    scopus 로고
    • Theoretical and numerical constraint-handling techniques used with evolutionary algorithinsia survey of the state of the art
    • CAC Coello, "Theoretical and numerical constraint-handling techniques used with evolutionary algorithinsia survey of the state of the art", Comput. Methods Appl. Mech. Eng.,vol. 191, pp 1245-1287, 2002
    • (2002) Comput. Methods Appl. Mech. Eng , vol.191 , pp. 1245-1287
    • Coello, C.A.C.1
  • 3
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    • On the use of nonstationary penalty functions to solve nonlinear constrained optimization problems with GAs
    • J. Joines and C. Houck, "On the use of nonstationary penalty functions to solve nonlinear constrained optimization problems with GAs," Proc. IEEE Int. Conf. Evolutionary Computing Piscataway, NJ: IEEE, pp. 579-584, 1994.
    • (1994) Proc. IEEE Int. Conf. Evolutionary Computing Piscataway, NJ: IEEE , pp. 579-584
    • Joines, J.1    Houck, C.2
  • 5
    • 0033729054 scopus 로고    scopus 로고
    • An efficient constraint handling method for genetic algorithm
    • K. Deb, "An efficient constraint handling method for genetic algorithm," Computer Methods and in Applied Mechanics and Engineering, vol. 186, pp.311-338, 2000
    • (2000) Computer Methods and in Applied Mechanics and Engineering , vol.186 , pp. 311-338
    • Deb, K.1
  • 7
    • 0036993440 scopus 로고    scopus 로고
    • A new genetic algorithm to handle the constrained optimization problem
    • Las Vegas, pp
    • S.J. Mu, H.Y. Su, W.J. Mao, et al. "A new genetic algorithm to handle the constrained optimization problem," In 41st IEEE Conference on Decision and Control, Las Vegas, pp.739-740, 2002.
    • (2002) 41st IEEE Conference on Decision and Control , pp. 739-740
    • Mu, S.J.1    Su, H.Y.2    Mao, W.J.3
  • 8
    • 84958949122 scopus 로고
    • A multi-objective approach to constrained optimization of gas supply networks: The COMOGA method
    • P. Surry, N. Radcliffe, and I. Boyd, "A multi-objective approach to constrained optimization of gas supply networks: The COMOGA method," in Proc. Evol. Comput, AISB Workshop, pp. 166-180, 1995.
    • (1995) Proc. Evol. Comput, AISB Workshop , pp. 166-180
    • Surry, P.1    Radcliffe, N.2    Boyd, I.3
  • 9
    • 25444524580 scopus 로고    scopus 로고
    • Evolutionary algorithms for constrained parameter optimization problems
    • Z. Michalewicz and M. Schoenauer, "Evolutionary algorithms for constrained parameter optimization problems," Evol. Comput., vol. 4, pp. 1-32, 1996.
    • (1996) Evol. Comput , vol.4 , pp. 1-32
    • Michalewicz, Z.1    Schoenauer, M.2
  • 12
    • 0028602950 scopus 로고
    • On the use of non-stationary penalty functions to solve constrained optimization problems with genetic algorithms
    • Orlando, Fl, pp
    • J. Joines, and C. Houck, "On the use of non-stationary penalty functions to solve constrained optimization problems with genetic algorithms," IEEE International Symposium Evolutionary Computation, Orlando, Fl, pp579-584, 1994
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    • Joines, J.1    Houck, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.