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Volumn 2439, Issue , 2002, Pages 298-307

Bayesian optimization algorithms for multi-objective optimization

Author keywords

[No Author keywords available]

Indexed keywords

BINARY TREES; COMBINATORIAL OPTIMIZATION; DECISION TREES; EVOLUTIONARY ALGORITHMS; IMPORTANCE SAMPLING; PARETO PRINCIPLE; TREES (MATHEMATICS);

EID: 84944313970     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45712-7_29     Document Type: Conference Paper
Times cited : (142)

References (10)
  • 2
    • 0033666525 scopus 로고    scopus 로고
    • M-PAES: A memetic algorithm for multiobjective optimization
    • Piscataway, NJ, IEEE Press
    • J. D. Knowles and D. W. Corne. M-PAES: A memetic algorithm for multiobjective optimization. In Congress on Evolutionary Computation (CEC 2000), volume 1, pages 325–332, Piscataway, NJ, 2000. IEEE Press.
    • (2000) Congress on Evolutionary Computation (CEC 2000) , vol.1 , pp. 325-332
    • Knowles, J.D.1    Corne, D.W.2
  • 3
    • 0007705913 scopus 로고    scopus 로고
    • Mutation control and convergence in evolutionary multi-objective optimization
    • Brno University of Technology
    • M. Laumanns, G. Rudolph, and H.-P. Schwefel. Mutation control and convergence in evolutionary multi-objective optimization. In MENDEL 2001. 7th Int. Conf. on Soft Computing, pages 24–29. Brno University of Technology, 2001.
    • (2001) MENDEL 2001. 7th Int. Conf. On Soft Computing , pp. 24-29
    • Laumanns, M.1    Rudolph, G.2    Schwefel, H.-P.3
  • 4
    • 0036715683 scopus 로고    scopus 로고
    • Combining convergence and diversity in evolutionary multi-objective optimization
    • M. Laumanns, L. Thiele, K. Deb, and E. Zitzler. Combining convergence and diversity in evolutionary multi-objective optimization. Evolutionary Computation, 10(3), 2002.
    • (2002) Evolutionary Computation , vol.10 , Issue.3
    • Laumanns, M.1    Thiele, L.2    Deb, K.3    Zitzler, E.4
  • 7
    • 0031704184 scopus 로고    scopus 로고
    • On a multi-objective evolutionary algorithm and its convergence to the pareto set
    • Piscataway, IEEE Press
    • G. Rudolph. On a multi-objective evolutionary algorithm and its convergence to the pareto set. In IEEE Int’l Conf. on Evolutionary Computation (ICEC’98), pages 511–516, Piscataway, 1998. IEEE Press.
    • (1998) IEEE Int’l Conf. On Evolutionary Computation (ICEC’98) , pp. 511-516
    • Rudolph, G.1
  • 8
    • 0035717910 scopus 로고    scopus 로고
    • Multiobjective bayesian optimization algorithm for combinatorial problems: Theory and practice
    • J. Schwarz and J. Ocenasek. Multiobjective bayesian optimization algorithm for combinatorial problems: Theory and practice. Neural Network World, 11(5):423–441, 2001.
    • (2001) Neural Network World , vol.11 , Issue.5 , pp. 423-441
    • Schwarz, J.1    Ocenasek, J.2
  • 10
    • 2942547409 scopus 로고    scopus 로고
    • SPEA2: Improving the strength pareto evolutionary algorithm for multiobjective optimization
    • K. Giannakoglou et al., editors
    • E. Zitzler, M. Laumanns, and L. Thiele. SPEA2: Improving the strength pareto evolutionary algorithm for multiobjective optimization. In K. Giannakoglou et al., editors, Evolutionary Methods for Design, Optimisation, and Control, 2002.
    • (2002) Evolutionary Methods for Design, Optimisation, and Control
    • Zitzler, E.1    Laumanns, M.2    Thiele, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.