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Volumn 2611, Issue , 2003, Pages 268-279

Guiding single-objective optimization using multi-objective methods

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC ALGORITHMS; OPTIMIZATION;

EID: 35248825030     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-36605-9_25     Document Type: Article
Times cited : (42)

References (16)
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    • Multiobjective Genetic Programming: Reducing Bloat using SPEA2
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    • Reducing Bloat and Promoting Diversity using Multi-Objective Methods
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    • (2001) Proceedings of GECCO'2001 , pp. 11-18
    • De Jong, E.D.1    Watson, R.A.2    Pollack, J.B.3
  • 6
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    • Probabilistic learning combinations of local jobshop scheduling rules
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    • Giffler, B.1    Thompson, G.L.2
  • 12
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    • Pareto Optimality, GA-easiness and Deception
    • S. Forrest, editor, Morgan Kaufmann
    • S. J. Louis and G. J. E. Rawlins. Pareto Optimality, GA-easiness and Deception. In S. Forrest, editor, Proceedings of ICGA-5, pages 118-123. Morgan Kaufmann, 1993.
    • (1993) Proceedings of ICGA-5 , pp. 118-123
    • Louis, S.J.1    Rawlins, G.J.E.2
  • 13
    • 2542575116 scopus 로고    scopus 로고
    • Pareto coevolution: Using performance against coevolved opponents in a game as dimensions for Pareto selection
    • L. Spector et al., editors, Morgan Kaufmann
    • J. Noble and R. A. Watson. Pareto coevolution: Using performance against coevolved opponents in a game as dimensions for Pareto selection. In L. Spector et al., editors, Proceedings of GECCO'2001, pages 493-500. Morgan Kaufmann, 2001.
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  • 15
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    • November
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.