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Volumn , Issue , 2003, Pages 653-658

Improving (revolutionary search for optimal multiagent behaviors

Author keywords

[No Author keywords available]

Indexed keywords

CO-EVOLUTION; LEARNING BEHAVIOR; MULTI-AGENT PROBLEMS; PROBLEM DOMAIN;

EID: 84880814738     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (29)

References (18)
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    • Lawrence Bull, Terrence C. Fogarty, and M. Snaith. Evolution in multi-agent systems: Evolving communicating classifier systems for gait in a quadrupedal robot. In L. Eshelman, editor, Proceedings of the Sixth International Conference on Genetic Algorithms (ICGA), pages 382-388. Morgan Kaufmann, 1995.
    • (1995) Proceedings of the Sixth International Conference on Genetic Algorithms (ICGA) , pp. 382-388
    • Bull, L.1    Fogarty, T.C.2    Snaith, M.3
  • 5
    • 84947918810 scopus 로고    scopus 로고
    • A game-theoretic approach to the simple revolutionary algorithm
    • M. Schoenauer, K. Deb, G. Rudolph, X. Yao, E. Lutton, J.J. Merelo, and H.-P. Schwefel, editors, Springer-Verlag
    • S. Ficici and J. Pollack. A game-theoretic approach to the simple revolutionary algorithm. In M. Schoenauer, K. Deb, G. Rudolph, X. Yao, E. Lutton, J.J. Merelo, and H.-P. Schwefel, editors, Proceedings of the Sixth International Conference on Parallel Problem Solving from Nature (PPSN VI), pages 467-476. Springer-Verlag, 2000.
    • (2000) Proceedings of the Sixth International Conference on Parallel Problem Solving from Nature (PPSN VI) , pp. 467-476
    • Ficici, S.1    Pollack, J.2
  • 7
    • 84880803892 scopus 로고    scopus 로고
    • Emergent cooperation for multiple agents using genetic programming
    • J. Koza, editor, Stanford, CA, Stanford University Bookstore
    • H. Iba. Emergent cooperation for multiple agents using genetic programming. In J. Koza, editor, Late Breaking Papers of the Genetic Programming Conference, pages 66-74, Stanford, CA, 1996. Stanford University Bookstore.
    • (1996) Late Breaking Papers of the Genetic Programming Conference , pp. 66-74
    • Iba, H.1
  • 9
    • 0003322602 scopus 로고    scopus 로고
    • Co-evolving soccer softbot team coordination with genetic programming
    • RoboCup-97: Robot Soccer World Cup I Berlin, Springer-Verlag
    • S. Luke, C. Hohn, J. Farris, G. Jackson, and J. Hendler. Co-evolving soccer softbot team coordination with genetic programming. In RoboCup-97: Robot Soccer World Cup I (Lecture Notes in AI No. 1395), pages 398-411, Berlin, 1998. Springer-Verlag.
    • (1998) Lecture Notes in AI , Issue.1395 , pp. 398-411
    • Luke, S.1    Hohn, C.2    Farris, J.3    Jackson, G.4    Hendler, J.5
  • 13
    • 0031082536 scopus 로고    scopus 로고
    • New methods for competitive coevolution
    • C. Rosin and R. Belew. New methods for competitive coevolution. Evolutionary Computation, 5(1):1-29,1997. (Pubitemid 127717836)
    • (1997) Evolutionary Computation , vol.5 , Issue.1 , pp. 1-29
    • Rosin, C.D.1    Belew, R.K.2
  • 15
    • 0013401736 scopus 로고    scopus 로고
    • An empirical analysis of collaboration methods in cooperative coevolutionary algorithms
    • L. Spector et al, editor, Morgan Kaufmann, 2001
    • R. Paul Wiegand, William Liles, and Kenneth De Jong. An empirical analysis of collaboration methods in cooperative coevolutionary algorithms. In L. Spector et al, editor, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2001, pages 1235-1242. Morgan Kaufmann, 2001.
    • Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2001 , pp. 1235-1242
    • Wiegand, R.P.1    Liles, W.2    De Jong, K.3
  • 16
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    • Analyzing cooperative coevolution with evolutionary game theory
    • D. Fogel, editor, IEEE Press
    • R. Paul Wiegand, William Liles, and Kenneth De Jong. Analyzing cooperative coevolution with evolutionary game theory. In D. Fogel, editor, Proceedings of CEC 2002, pages 1600-1605. IEEE Press, 2002.
    • (2002) Proceedings of CEC 2002 , pp. 1600-1605
    • Wiegand, R.P.1    Liles, W.2    De Jong, K.3
  • 17
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    • Modeling variation in cooperative coevolution using evolutionary game theory
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    • R. Paul Wiegand, William Liles, and Kenneth De Jong. Modeling variation in cooperative coevolution using evolutionary game theory. In Richardo Poli, Jonathan Rowe, and Kenneth De Jong, editors, Foundations of Genetic Algorithms (FOGA) VII, pages 231-248. Morgan Kaufmann, 2002.
    • (2002) Foundations of Genetic Algorithms (FOGA) VII , pp. 231-248
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.