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Volumn 4, Issue , 2003, Pages 2498-2505

Adaptive diversity maintenance and convergence guarantee in multiobjective evolutionary algorithms

Author keywords

[No Author keywords available]

Indexed keywords

OPTIMAL SYSTEMS; PARETO PRINCIPLE;

EID: 27144553024     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2003.1299402     Document Type: Conference Paper
Times cited : (15)

References (20)
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    • (1993) Proceedings of the Fifth International Conference on Genetic Algorithms , pp. 416-423
    • Fonseca, C.M.1    Fleming, P.J.2
  • 9
    • 0032677843 scopus 로고    scopus 로고
    • On the convergence of multiobjective evolutionary algorithms
    • T. Hanne. On the convergence of multiobjective evolutionary algorithms. European Journal of Operational Research, 117(3):553-564, 1999.
    • (1999) European Journal of Operational Research , vol.117 , Issue.3 , pp. 553-564
    • Hanne, T.1
  • 11
    • 0037936616 scopus 로고    scopus 로고
    • Properties of an adaptive archiving algorithm for storing nondominated vectors
    • April
    • J. Knowles and D. Corne. Properties of an Adaptive Archiving Algorithm for Storing Nondominated Vectors. IEEE Transactions on Evolutionary Computation, 7(2):100-116, April 2003.
    • (2003) IEEE Transactions on Evolutionary Computation , vol.7 , Issue.2 , pp. 100-116
    • Knowles, J.1    Corne, D.2
  • 12
    • 0034199912 scopus 로고    scopus 로고
    • Approximating the nondominated front using the pareto archived evolution strategy
    • J. D. Knowles and D. W. Corne. Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy. Evolutionary Computation, 8(2):149-172, 2000.
    • (2000) Evolutionary Computation , vol.8 , Issue.2 , pp. 149-172
    • Knowles, J.D.1    Corne, D.W.2
  • 13
    • 0036715683 scopus 로고    scopus 로고
    • Combining convergence and diversity in evolutionary multi-objective optimization
    • Fall
    • M. Laumanns, L. Thiele, K. Deb, and E. Zitzler. Combining convergence and diversity in evolutionary multi-objective optimization. Evolutionary Computation, 10(3):263-282, Fall 2002.
    • (2002) Evolutionary Computation , vol.10 , Issue.3 , pp. 263-282
    • Laumanns, M.1    Thiele, L.2    Deb, K.3    Zitzler, E.4
  • 14
    • 84972809394 scopus 로고
    • An approximation method for the efficiency set of multiobjective programming problems
    • H. Reuter. An approximation method for the efficiency set of multiobjective programming problems. Optimization, 21:905-911, 1990.
    • (1990) Optimization , vol.21 , pp. 905-911
    • Reuter, H.1
  • 16
    • 0000852513 scopus 로고
    • Multiobjective Optimization using nondominated sorting in genetic algorithms
    • Fall
    • N. Srinivas and K. Deb. Multiobjective Optimization Using Nondominated Sorting in Genetic Algorithms. Evolutionary Computation, 2(3):221-248, Fall 1994.
    • (1994) Evolutionary Computation , vol.2 , Issue.3 , pp. 221-248
    • Srinivas, N.1    Deb, K.2
  • 17
    • 0035694098 scopus 로고    scopus 로고
    • Evolutionary algorithms with dynamic population size and local exploration for multiobjective optimization
    • December
    • K. Tan, T. Lee, and E. Khor. Evolutionary Algorithms with Dynamic Population Size and Local Exploration for Multiobjective Optimization. IEEE Transactions on Evolutionary Computation, 5(6):565-588, December 2001.
    • (2001) IEEE Transactions on Evolutionary Computation , vol.5 , Issue.6 , pp. 565-588
    • Tan, K.1    Lee, T.2    Khor, E.3
  • 18
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    • Dynamic multiobjective evolutionary algorithm: Adaptive cell-based rank and density estimation
    • June
    • G. Yen and H. Lu. Dynamic multiobjective evolutionary algorithm: adaptive cell-based rank and density estimation. IEEE Transactions on Evolutionary Computation, 7(3):253-274, June 2003.
    • (2003) IEEE Transactions on Evolutionary Computation , vol.7 , Issue.3 , pp. 253-274
    • Yen, G.1    Lu, H.2
  • 20
    • 0033318858 scopus 로고    scopus 로고
    • Multiobjective evolutionary algorithms: A comparative case study and the strength pareto approach
    • November
    • E. Zitzler and L. Thiele. Multiobjective Evolutionary Algorithms: A Comparative Case Study and the Strength Pareto Approach. IEEE Transactions on Evolutionary Computation, 3(4):257-271, November 1999.
    • (1999) IEEE Transactions on Evolutionary Computation , vol.3 , Issue.4 , pp. 257-271
    • Zitzler, E.1    Thiele, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.