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Volumn , Issue , 2008, Pages 3319-3326

Elitist Evolutionary Multi-Agent System in solving noisy multi-objective optimization problems

Author keywords

[No Author keywords available]

Indexed keywords

BOOLEAN FUNCTIONS; MULTI AGENT SYSTEMS; MULTIOBJECTIVE OPTIMIZATION; OPTIMIZATION;

EID: 55749108321     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2008.4631247     Document Type: Conference Paper
Times cited : (19)

References (12)
  • 2
    • 33745182518 scopus 로고    scopus 로고
    • Performance analysis of evolutionary multiobjective optimization methods in noisy environments
    • Melbourne, Australia, Monash University
    • L. T. Bui, D. Essam, H. A. Abbas, and D. Green. Performance analysis of evolutionary multiobjective optimization methods in noisy environments. In 8th Asia Pacific Symposium on Intelligent and Evolutionary Systems, Melbourne, Australia, 2004. Monash University.
    • (2004) 8th Asia Pacific Symposium on Intelligent and Evolutionary Systems
    • Bui, L.T.1    Essam, D.2    Abbas, H.A.3    Green, D.4
  • 4
    • 84882365914 scopus 로고    scopus 로고
    • Agent-oriented model of simulated evolution
    • W. I. Grosky and F. Plasil, editors, SofSem 2002: Theory and Practice of Informatics, of, Springer-Verlag
    • M. Kisiel-Dorohinicki, Agent-oriented model of simulated evolution. In W. I. Grosky and F. Plasil, editors, SofSem 2002: Theory and Practice of Informatics, volume 2540 of Lecture Notes in Computer Science. Springer-Verlag, 2002.
    • (2002) Lecture Notes in Computer Science , vol.2540
    • Kisiel-Dorohinicki, M.1
  • 5
    • 55749114748 scopus 로고    scopus 로고
    • M. Kisiel-Dorohinicki. Agent-based models and platforms for parallel evolutionary algorithms. In M. Bubak, G. D. van Albada, P. M, A. Sloot, and J. Dongarra, editors. Computational Science - ICCS 2004. Part III, 3038 of Lecture Notes in Artificial Intelligence, pages 225-236. Springer-Verlag, 2004.
    • M. Kisiel-Dorohinicki. Agent-based models and platforms for parallel evolutionary algorithms. In M. Bubak, G. D. van Albada, P. M, A. Sloot, and J. Dongarra, editors. Computational Science - ICCS 2004. Part III, volume 3038 of Lecture Notes in Artificial Intelligence, pages 225-236. Springer-Verlag, 2004.
  • 8
    • 38049153557 scopus 로고    scopus 로고
    • Techniques for maintaining population diversity in classical and agent-based multi-objective evolutionary algorithms
    • Y. Shi, G. D. van Albada, J. Dongarra, and P. M. A. Sloot, editors, Computational Science, ICCS 2007, of, Berlin, Heidelberg, Springer-Verlag
    • L. Siwik and R. Dreżewski. Techniques for maintaining population diversity in classical and agent-based multi-objective evolutionary algorithms. In Y. Shi, G. D. van Albada, J. Dongarra, and P. M. A. Sloot, editors, Computational Science - ICCS 2007, volume 4488 of LNCS, pages 904-911, Berlin, Heidelberg, 2007. Springer-Verlag.
    • (2007) LNCS , vol.4488 , pp. 904-911
    • Siwik, L.1    Dreżewski, R.2
  • 9
    • 55549119125 scopus 로고    scopus 로고
    • Co-evolutionary multi-agent system for portfolio optimization
    • A. Brabazon and M. O'Neill, editors, Springer-Verlag
    • L. Siwik and R. Dreżewski. Co-evolutionary multi-agent system for portfolio optimization. In A. Brabazon and M. O'Neill, editors, Natural Computation in Computational Finance, pages 273-303, Springer-Verlag, 2008.
    • (2008) Natural Computation in Computational Finance , pp. 273-303
    • Siwik, L.1    Dreżewski, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.