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Volumn 3102, Issue , 2004, Pages 525-536

The incremental pareto-coevolution archive

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

EID: 35048820025     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24854-5_55     Document Type: Article
Times cited : (50)

References (21)
  • 1
    • 0001980141 scopus 로고
    • The evolution of strategies in the iterated prisoner's dilemma
    • Lawrence Davis, editor, Genetic Algorithms and Simulated Annealing, London, Pitman Publishing
    • Robert Axelrod. The evolution of strategies in the iterated prisoner's dilemma. In Lawrence Davis, editor, Genetic Algorithms and Simulated Annealing, Research Notes in Artificial Intelligence, pages 32-41, London, 1987. Pitman Publishing.
    • (1987) Research Notes in Artificial Intelligence , pp. 32-41
    • Axelrod, R.1
  • 2
    • 34250593236 scopus 로고
    • Numerical testing of evolution theories. Part I: Theoretical introduction and basic tests
    • Nils Aall Barricelli. Numerical testing of evolution theories. Part I: Theoretical introduction and basic tests. Acta Biotheoretica, 16(1-2):69-98, 1962.
    • (1962) Acta Biotheoretica , vol.16 , Issue.1-2 , pp. 69-98
    • Barricelli, N.A.1
  • 3
    • 32444447372 scopus 로고    scopus 로고
    • A mathematical framework for the study of coevolution
    • San Francisco, CA, Morgan Kaufmann
    • Anthony Bucci and Jordan B. Pollack. A mathematical framework for the study of coevolution. In Foundations of Genetic Algorithms (FOGA-2002), San Francisco, CA, 2003. Morgan Kaufmann.
    • (2003) Foundations of Genetic Algorithms (FOGA-2002)
    • Bucci, A.1    Pollack, J.B.2
  • 8
    • 84947918810 scopus 로고    scopus 로고
    • A game-theoretic approach to the simple coevolutionary algorithm
    • M. Schoenauer et al., editor, Parallel Problem Solving from Nature, PPSN-VI, Berlin, Springer
    • Sevan G. Ficici and Jordan B. Pollack. A game-theoretic approach to the simple coevolutionary algorithm. In M. Schoenauer et al., editor, Parallel Problem Solving from Nature, PPSN-VI, volume 1917 of LNCS, Berlin, 2000. Springer.
    • (2000) LNCS , vol.1917
    • Ficici, S.G.1    Pollack, J.B.2
  • 9
    • 0010644078 scopus 로고    scopus 로고
    • Pareto optimality in coevolutionary learning
    • Jozef Kelemen, editor, Berlin, Springer
    • Sevan G. Ficici and Jordan B. Pollack. Pareto optimality in coevolutionary learning. In Jozef Kelemen, editor, Sixth European Conference on Artificial Life, Berlin, 2001. Springer.
    • (2001) Sixth European Conference on Artificial Life
    • Ficici, S.G.1    Pollack, J.B.2
  • 10
    • 35248854640 scopus 로고    scopus 로고
    • A game-theoretic memory mechanism for coevolution
    • E. Cantú-Paz et al., editor, Genetic and Evolutionary Computation - GECCO-2003, Chicago, 12-16 July Springer-Verlag
    • Sevan G. Ficici and Jordan B. Pollack. A game-theoretic memory mechanism for coevolution. In E. Cantú-Paz et al., editor, Genetic and Evolutionary Computation - GECCO-2003, volume 2723 of LNCS, pages 286-297, Chicago, 12-16 July 2003. Springer-Verlag.
    • (2003) LNCS , vol.2723 , pp. 286-297
    • Ficici, S.G.1    Pollack, J.B.2
  • 11
    • 0001118093 scopus 로고
    • Co-evolving parasites improve simulated evolution in an optimization procedure
    • D. W. Hillis. Co-evolving parasites improve simulated evolution in an optimization procedure. Physica D, 42:228-234, 1990.
    • (1990) Physica D , vol.42 , pp. 228-234
    • Hillis, D.W.1
  • 13
    • 0000349989 scopus 로고    scopus 로고
    • Evolutionary consequences of coevolving targets
    • Ludo Pagie and Paulien Hogeweg. Evolutionary consequences of coevolving targets. Evolutionary Computation, 5(4):401-418, 1998.
    • (1998) Evolutionary Computation , vol.5 , Issue.4 , pp. 401-418
    • Pagie, L.1    Hogeweg, P.2
  • 14
    • 0029311891 scopus 로고    scopus 로고
    • Coevolutionary computation
    • Jan Paredis. Coevolutionary computation. Artificial Life, 2(4), 1996.
    • (1996) Artificial Life , vol.2 , Issue.4
    • Paredis, J.1
  • 15
    • 0034153728 scopus 로고    scopus 로고
    • Cooperative coevolution: An architecture for evolving coadapted subcomponents
    • Mitchell A. Potter and Kenneth A. De Jong. Cooperative coevolution: An architecture for evolving coadapted subcomponents. Evolutionary Computation, 8(1):1-29, 2000.
    • (2000) Evolutionary Computation , vol.8 , Issue.1 , pp. 1-29
    • Potter, M.A.1    De Jong, K.A.2
  • 20
    • 84947919545 scopus 로고    scopus 로고
    • Symbiotic combination as an alternative to sexual recombination in genetic algorithms
    • M. Schoenauer et al., editor, Parallel Problem Solving from Nature, PPSN-VI, Berlin, Springer
    • Richard A. Watson and Jordan B. Pollack. Symbiotic combination as an alternative to sexual recombination in genetic algorithms. In M. Schoenauer et al., editor, Parallel Problem Solving from Nature, PPSN-VI, volume 1917 of LNCS, Berlin, 2000. Springer.
    • (2000) LNCS , vol.1917
    • Watson, R.A.1    Pollack, J.B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.