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Volumn 4193 LNCS, Issue , 2006, Pages 533-542

Are all objectives necessary? On dimensionality reduction in evolutionary multiobjective optimization

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; DECISION MAKING; EVOLUTIONARY ALGORITHMS; HEURISTIC METHODS; PARETO PRINCIPLE; PROBLEM SOLVING;

EID: 33750250967     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11844297_54     Document Type: Conference Paper
Times cited : (199)

References (16)
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    • (1998) PPSN V Proceedings , pp. 865-874
    • Paechter, B.1    Rankin, R.C.2    Cumming, A.3    Fogarty, T.C.4
  • 5
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    • An emo algorithm using the hypervolume measure as selection criterion
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    • Emmerich, M., Beume, N., Naujoks, B.: An emo algorithm using the hypervolume measure as selection criterion. In: EMO 2005 Proceedings, Springer (2005) 62-76
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    • Emmerich, M.1    Beume, N.2    Naujoks, B.3
  • 6
    • 0037936616 scopus 로고    scopus 로고
    • Properties of an adaptive archiving algorithm for storing nondominated vectors
    • Knowles, J., Corne, D.: Properties of an adaptive archiving algorithm for storing nondominated vectors. IEEE Transactions on Evolutionary Computation 7(2) (2003) 100-116
    • (2003) IEEE Transactions on Evolutionary Computation , vol.7 , Issue.2 , pp. 100-116
    • Knowles, J.1    Corne, D.2
  • 7
    • 24344451332 scopus 로고    scopus 로고
    • A new analysis of the lebmeasure algorithm for calculating hypervolume
    • Springer
    • While, L.: A new analysis of the lebmeasure algorithm for calculating hypervolume. In: EMO 2005 Proceedings, Springer (2005) 326-340
    • (2005) EMO 2005 Proceedings , pp. 326-340
    • While, L.1
  • 9
    • 35248871555 scopus 로고    scopus 로고
    • Conflict, harmony, and independence: Relationships in evolutionary multi-criterion optimisation
    • Springer, Berlin
    • Purshouse, R.C., Fleming, P.J.: Conflict, harmony, and independence: Relationships in evolutionary multi-criterion optimisation. In: EMO 2003 Proceedings, Springer, Berlin (2003) 16-30
    • (2003) EMO 2003 Proceedings , pp. 16-30
    • Purshouse, R.C.1    Fleming, P.J.2
  • 11
    • 33750232921 scopus 로고    scopus 로고
    • On finding pareto-optimal solutions through dimensionality reduction for certain large-dimensional multi-objective optimization problems
    • Kanpur Genetic Algorithms Laboratory (KanGAL)
    • Deb, K., Saxena, D.K.: On finding pareto-optimal solutions through dimensionality reduction for certain large-dimensional multi-objective optimization problems. Kangal report no. 2005011, Kanpur Genetic Algorithms Laboratory (KanGAL) (2005)
    • (2005) Kangal Report No. 2005011
    • Deb, K.1    Saxena, D.K.2
  • 12
    • 66549093925 scopus 로고    scopus 로고
    • On objective conflicts and objective reduction in multiple criteria optimization
    • ETH Zurich, Zurich, Switzerland submitted to Operations Research 2006
    • Brockhoff, D., Zitzler, E.: On Objective Conflicts and Objective Reduction in Multiple Criteria Optimization. TIK Report 243, ETH Zurich, Zurich, Switzerland (2006) submitted to Operations Research 2006.
    • (2006) TIK Report , vol.243
    • Brockhoff, D.1    Zitzler, E.2
  • 14
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    • Dimensionality reduction in multiobjective optimization with (Partial) dominance structure preservation: Generalized minimum objective subset problems
    • ETH Zurich, Zurich, Switzerland
    • Brockhoff, D., Zitzler, E.: Dimensionality Reduction in Multiobjective Optimization with (Partial) Dominance Structure Preservation: Generalized Minimum Objective Subset Problems. TIK Report 247, ETH Zurich, Zurich, Switzerland (2006)
    • (2006) TIK Report , vol.247
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  • 15
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    • Indicator-based selection in multiobjective search
    • Springer
    • Zitzler, E., Künzli, S.: Indicator-based selection in multiobjective search. In: PPSN VIII Proceedings, Springer (2004) 832-842
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    • Zitzler, E.1    Künzli, S.2
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    • Zitzler, E., Thiele, L.: Multiobjective evolutionary algorithms: A comparative case study and the strength pareto approach. IEEE Transactions on Evolutionary Computation 3(4) (1999) 257-271
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.