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Volumn 45, Issue 1, 2005, Pages 103-106

Constrained multi-objective optimization evolutionary algorithm

Author keywords

Constrained; Constrained dominated principle; Infeasibility degree selection; Multi objective; Neighborhood and archive operation; Optimization; Pareto optimal solution

Indexed keywords

CONSTRAINT THEORY; OPTIMIZATION;

EID: 15044354688     PISSN: 10000054     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (39)

References (11)
  • 2
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    • Multiple objective optimization with vector evaluated genetic algorithms
    • Lawrence Erlbauni: IEEE Press
    • Schaffer J D. Multiple objective optimization with vector evaluated genetic algorithms [A]. Proceedings of the First International Conference on Genetic Algorithms [C]. Lawrence Erlbauni: IEEE Press, 1985, 93-100.
    • (1985) Proceedings of the First International Conference on Genetic Algorithms , pp. 93-100
    • Schaffer, J.D.1
  • 3
    • 0003657629 scopus 로고
    • An overview of evolutionary algorithms in multiobjective optimization
    • Sheffield: Department of Automatic Control and Systems Engineering, University of Sheffield
    • Fonseca C M, Fleming P J. An Overview of Evolutionary Algorithms in Multiobjective Optimization [R]. Sheffield: Department of Automatic Control and Systems Engineering, University of Sheffield, 1994.
    • (1994)
    • Fonseca, C.M.1    Fleming, P.J.2
  • 4
    • 0000852513 scopus 로고
    • Multiobjective optimization using nondominated sorting in genetic algorithms
    • Srinivas N, Deb K. Multiobjective optimization using nondominated sorting in genetic algorithms [J]. Evolutionary Computation, 1994, 2(3): 221-248.
    • (1994) Evolutionary Computation , vol.2 , Issue.3 , pp. 221-248
    • Srinivas, N.1    Deb, K.2
  • 5
    • 0003808330 scopus 로고    scopus 로고
    • Multiobjective evolutionary algorithms: Classification, analyses, and new innovations
    • Dayton: Air Force Institute of Technology Air University
    • Veldhuizen D A V. Multiobjective evolutionary Algorithms: Classification, Analyses, and New Innovations [D]. Dayton: Air Force Institute of Technology Air University, 1999.
    • (1999)
    • Veldhuizen, D.A.V.1
  • 6
    • 0034199979 scopus 로고    scopus 로고
    • Comparison of multiobjective evolutionary algorithms: Empirical results
    • Zitzler E, Deb K, Thiele L. Comparison of multiobjective evolutionary algorithms: Empirical results [J]. Evolutionary Computation, 2000, 8(2): 173-195.
    • (2000) Evolutionary Computation , vol.8 , Issue.2 , pp. 173-195
    • Zitzler, E.1    Deb, K.2    Thiele, L.3
  • 7
    • 15044339967 scopus 로고    scopus 로고
    • Constrained test problems for multi-objective evolutionary optimization
    • KanGAL report, 200002, Kanpur: Indian Institute Technology
    • Deb K, Pratap A, Meyarivan T. Constrained Test Problems for Multi-objective Evolutionary Optimization [R]. KanGAL report, 200002, Kanpur: Indian Institute Technology, 2002.
    • (2002)
    • Deb, K.1    Pratap, A.2    Meyarivan, T.3
  • 8
  • 9
    • 0033729054 scopus 로고    scopus 로고
    • An efficient constraint handling method for genetic algorithm
    • Deb K. An efficient constraint handling method for genetic algorithm [J]. Computer Methods in Applied Mechanics and Engineering, 2000, 186: 311-338.
    • (2000) Computer Methods in Applied Mechanics and Engineering , vol.186 , pp. 311-338
    • Deb, K.1
  • 10
    • 0036993440 scopus 로고    scopus 로고
    • A new genetic algorithm to handle the constrained optimization problem
    • Las Vegas: IEEE Control Systems Society
    • MU Shengjing, SU Hongye, MAO Weijie, et al. A new genetic algorithm to handle the constrained optimization problem [A]. 41st IEEE Conference of Decision and Control [C]. Las Vegas: IEEE Control Systems Society, 2002. 739-740.
    • (2002) 41st IEEE Conference of Decision and Control , pp. 739-740
    • Mu, S.1    Su, H.2    Mao, W.3
  • 11
    • 0004095338 scopus 로고    scopus 로고
    • A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II
    • KanGAL report 200001, Kanpur: Indian Institute of Technology
    • Deb K, Pratap A, Agarwal S, et al. A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II [R]. KanGAL report 200001, Kanpur: Indian Institute of Technology, 2000.
    • (2000)
    • Deb, K.1    Pratap, A.2    Agarwal, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.