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Volumn 3, Issue 1, 2004, Pages 37-51

Running time analysis of evolutionary algorithms on a simplified multiobjective knapsack problem

Author keywords

Decision space partition; Evolutionary algorithms; Graph search; Knapsack problem; Multiobjective optimization; Pareto set; running time analysis

Indexed keywords

ANALYTIC METHOD; ARTICLE; DECISION MAKING; EVOLUTION; GENE MUTATION; GENETIC ALGORITHM; MATHEMATICAL ANALYSIS; POPULATION RESEARCH; PROBABILITY; PROBLEM SOLVING; RANDOMIZATION; TIME;

EID: 4344673791     PISSN: 15677818     EISSN: None     Source Type: Journal    
DOI: 10.1023/B:NACO.0000023415.22052.55     Document Type: Article
Times cited : (41)

References (11)
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    • Giel, O.1
  • 5
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    • On the performance of multiple objective genetic local search on the 0/1 knapsack problem. A comparative experiment
    • Jaszkiewicz A (2002) On the performance of multiple objective genetic local search on the 0/1 knapsack problem. A comparative experiment. IEEE Transactions on Evolutionary Computation 6(4): 402-412
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    • Jaszkiewicz, A.1
  • 6
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    • Running time analysis of multiobjective evolutionary algorithms on pseudo-boolean functions
    • Accepted for publication
    • Laumanns M, Thiele L and Zitzler E (2004) Running time analysis of multiobjective evolutionary algorithms on pseudo-boolean functions. IEEE Transactions on Evolutionary Computation. Accepted for publication
    • (2004) IEEE Transactions on Evolutionary Computation
    • Laumanns, M.1    Thiele, L.2    Zitzler, E.3
  • 7
    • 84944314297 scopus 로고    scopus 로고
    • Running time analysis of multi-objective evolutionary algorithms on a simple discrete optimization problem
    • Springer, Berlin
    • Laumanns M, Thiele L, Zitzler E, Welzl E and Deb K (2002) Running time analysis of multi-objective evolutionary algorithms on a simple discrete optimization problem. In: Parallel Problem Solving From Nature (PPSN VII), pp. 44-53. Springer, Berlin
    • (2002) Parallel Problem Solving from Nature (PPSN VII) , pp. 44-53
    • Laumanns, M.1    Thiele, L.2    Zitzler, E.3    Welzl, E.4    Deb, K.5
  • 9
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    • Fitness landscapes based on sorting and shortest paths problems
    • Guervas JJM et al. (eds) Springer, Berlin
    • Scharnow J, Tinnefeld K and Wegener I (2002) Fitness landscapes based on sorting and shortest paths problems In: Guervas JJM et al. (eds) Parallel Problem Solving From Nature (PPSN VII), pp. 54-63. Springer, Berlin
    • (2002) Parallel Problem Solving from Nature (PPSN VII) , pp. 54-63
    • Scharnow, J.1    Tinnefeld, K.2    Wegener, I.3
  • 10
    • 0012701514 scopus 로고    scopus 로고
    • Methods for the analysis of evolutionary algorithms on pseudo-boolean functions
    • Sarker R, Yao X and Mohammadian M (eds) Kluwer Academic Publishers, Dordrecht
    • Wegener I (2000) Methods for the analysis of evolutionary algorithms on pseudo-boolean functions. In: Sarker R, Yao X and Mohammadian M (eds) Evolutionary Optimization, pp. 349-369. Kluwer Academic Publishers, Dordrecht
    • (2000) Evolutionary Optimization , pp. 349-369
    • Wegener, I.1
  • 11
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    • Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach
    • Zitzler E and Thiele L (1999) Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach. IEEE Transactions on Evolutionary Computation 3(4): 257-271
    • (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.