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Volumn 1993, Issue , 2001, Pages 696-710

MOLeCS: Using multiobjective evolutionary algorithms for learning

Author keywords

[No Author keywords available]

Indexed keywords

DECISION MAKING; EVOLUTIONARY ALGORITHMS;

EID: 79959393682     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44719-9_49     Document Type: Conference Paper
Times cited : (11)

References (24)
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  • 5
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    • Coello. A Comprehensive Survey of Evolutionary-Based Multiobjective Optimization Techniques. Knowledge and Information Systems
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    • (1999) An International Journal , vol.1 , Issue.3 , pp. 269-308
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  • 7
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    • An Overview of Evolutionary Algorithms in Multiobjective Optimization
    • Carlos M. Fonseca and Peter Fleming. An Overview of Evolutionary Algorithms in Multiobjective Optimization. Evolutionary Computation, 3(1):1-16, 1995.
    • (1995) Evolutionary Computation , vol.3 , Issue.1 , pp. 1-16
    • Fonseca, C.M.1    Fleming, P.2
  • 8
    • 0026120634 scopus 로고
    • Letter recognition using Holland-style adaptive classif iers
    • P.W. Frey and D.J. Slate. Letter recognition using Holland-style adaptive classif iers. Machine Learning, 6:161-182, 1991.
    • (1991) Machine Learning , vol.6 , pp. 161-182
    • Frey, P.W.1    Slate, D.J.2
  • 10
    • 0001808821 scopus 로고
    • Finite Markov chain analysis of Genetic Algorithms
    • editor, Proceedings of the Second International Conference on Genetic Algorithms, Lawrence Erlbaum
    • D.E. Goldberg and P. Segrest. Finite Markov chain analysis of Genetic Algorithms. In J.J. Grefenstette, editor, Proceedings of the Second International Conference on Genetic Algorithms, pages 1-8. Lawrence Erlbaum, 1987.
    • (1987) J.J. Grefenstette , pp. 1-8
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  • 11
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    • Holland. Escaping Brittleness: The Possibilities of General Purpose Learn-ing Algorithms Applied to Parallel Rule-Based Systems
    • John H. Holland. Escaping Brittleness: The Possibilities of General Purpose Learn-ing Algorithms Applied to Parallel Rule-Based Systems. Machine Learning: An Artificial Intelligence Approach, Vol. II, pages 593-623, 1986.
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    • John, H.1
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    • 84931305666 scopus 로고    scopus 로고
    • Holmes. Quantitative Methods for Evaluating Learning Classifier Sys-tem Performance in Forced Two-Choice Decision Tasks
    • John H. Holmes. Quantitative Methods for Evaluating Learning Classifier Sys-tem Performance in Forced Two-Choice Decision Tasks. In Second International Workshop on Learning Classifier Systems (IWLCS-99), 1999.
    • (1999) Second International Workshop on Learning Classifier Systems (IWLCS-99)
    • John, H.1
  • 15
    • 0002614135 scopus 로고
    • Crowding and preselection revisited
    • In R.Maenner and B.Manderick, editors, Else-vier:Amsterdam
    • Mahfoud, Samir W. Crowding and preselection revisited. In R.Maenner and B.Manderick, editors, Parallel Problem Solving from Nature, 2, pages 27-36. Else-vier:Amsterdam, 1992.
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    • Evolutionary Computation , vol.8 , Issue.2 , pp. 125-174
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