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Volumn 5199 LNCS, Issue , 2008, Pages 31-40

Multiobjectivization by decomposition of scalar cost functions

Author keywords

[No Author keywords available]

Indexed keywords

COST FUNCTIONS; MULTIOBJECTIVE OPTIMIZATION; PROBABILITY DENSITY FUNCTION; OPTIMIZATION;

EID: 56449108101     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87700-4_4     Document Type: Conference Paper
Times cited : (92)

References (14)
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    • Relative Building-Block Fitness and the Building-Block Hypothesis
    • Morgan Kaufmann, San Mateo
    • Porrest, S., Mitchell, M., Whitley, L.: Relative Building-Block Fitness and the Building-Block Hypothesis. In: Foundations of Genetic Algorithms 2, pp. 109-126. Morgan Kaufmann, San Mateo (1993)
    • (1993) Foundations of Genetic Algorithms , vol.2 , pp. 109-126
    • Porrest, S.1    Mitchell, M.2    Whitley, L.3
  • 5
    • 0032677843 scopus 로고    scopus 로고
    • On the convergence of multiobjective evolutionary algorithms
    • Hanne, T.: 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
  • 6
    • 0035694032 scopus 로고    scopus 로고
    • Evolutionary algorithms - how to cope with plateaus of constant fitness and when to reject strings of the same fitness
    • Jansen, T., Wegener, I.: Evolutionary algorithms - how to cope with plateaus of constant fitness and when to reject strings of the same fitness. IEEE Transactions on Evolutionary Computation 5(6), 589-599 (2001)
    • (2001) IEEE Transactions on Evolutionary Computation , vol.5 , Issue.6 , pp. 589-599
    • Jansen, T.1    Wegener, I.2
  • 7
    • 20944439075 scopus 로고    scopus 로고
    • Helper-objectives: Using multi-objective evolutionary algorithms for single-objective optimisation
    • Jensen, M.T.: Helper-objectives: Using multi-objective evolutionary algorithms for single-objective optimisation. Journal of Mathematical Modelling and Algorithms 3(4), 323-347 (2004)
    • (2004) Journal of Mathematical Modelling and Algorithms , vol.3 , Issue.4 , pp. 323-347
    • Jensen, M.T.1
  • 8
    • 0001722513 scopus 로고
    • Stochastic Hillclimbing as a Baseline Method for Evaluating Genetic Algorithms
    • Touretzky, D.S, ed, MIT Press, Cambridge
    • Juels, A., Wattenberg, M.: Stochastic Hillclimbing as a Baseline Method for Evaluating Genetic Algorithms. In: Touretzky, D.S. (ed.) Advances in Neural Information Processing Systems 8, pp. 430-436. MIT Press, Cambridge (1995)
    • (1995) Advances in Neural Information Processing Systems , vol.8 , pp. 430-436
    • Juels, A.1    Wattenberg, M.2
  • 11
    • 0034199912 scopus 로고    scopus 로고
    • Approximating the nondominated front using the Pareto archived evolution strategy
    • Knowles, J.D., Corne, D.W.: 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
  • 12
    • 33748121602 scopus 로고    scopus 로고
    • Minimum spanning trees made easier via multi-objective optimization
    • Neumann, F., Wegener, I.: Minimum spanning trees made easier via multi-objective optimization. Natural Computing 5(3), 305-319 (2006)
    • (2006) Natural Computing , vol.5 , Issue.3 , pp. 305-319
    • Neumann, F.1    Wegener, I.2
  • 13
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    • Oliveto, P.S., Witt, C.: Simplified drift analysis for proving lower bounds in evolutionary computation. In: Rudolph, G., et al. (eds.) PPSN X 2008. LNCS, 5199, pp. 82-91. Springer, Berlin (2008)
    • Oliveto, P.S., Witt, C.: Simplified drift analysis for proving lower bounds in evolutionary computation. In: Rudolph, G., et al. (eds.) PPSN X 2008. LNCS, vol. 5199, pp. 82-91. Springer, Berlin (2008)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.