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Volumn 1793 LNAI, Issue , 2000, Pages 212-223

A new approach for the solution of multiple objective optimization problems based on reinforcement learning

Author keywords

[No Author keywords available]

Indexed keywords

DISTRIBUTED Q-LEARNING; MULTIPLE OBJECTIVE OPTIMIZATION PROBLEMS; NEW APPROACHES; NONCONVEX PROBLEM; PARETO FRONT; RESTRICTED PROBLEM;

EID: 84897780058     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/10720076_20     Document Type: Conference Paper
Times cited : (9)

References (15)
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  • 2
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  • 3
    • 0002629429 scopus 로고
    • An overview of evolutionary algorithms in multiobjective optimization
    • Carlos M. Fonseca and Peter J. Flemming. An overview of evolutionary algorithms in multiobjective optimization. Evolutionary Computation, 3(1):1-16, 1995.
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    • Fonseca, C.M.1    Flemming, P.J.2
  • 4
    • 0344868033 scopus 로고
    • Multiobjective optimization and multiple constraint handling with evolutionary algorithms i: A unified formulation
    • Dept. Automatic Control and Systems Eng., University of Sheffield. Sheffield S1 4Du, U.K., January
    • Carlos M. Fonseca and Peter J. Flemming. Multiobjective optimization and Multiple Constraint Handling with Evolutionary Algorithms I: A Unified Formulation. Research Report 564, Dept. Automatic Control and Systems Eng., University of Sheffield. Sheffield S1 4Du, U.K., January, 1995.
    • (1995) Research Report 564
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  • 6
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    • In Banzhaf, W., Daida, J., Eiben, A. E., Garzon, M. H., Honavar, V., Jakiela, M., & Smith, R. E. (eds.). July 13-17 , Orlando, Florida USA. San Francisco, CA: Morgan Kaufmann
    • Joshua Knowles and David Corne. Assesing the Performance of the Pareto Achieved Evolution Strategy. In Banzhaf, W., Daida, J., Eiben, A. E., Garzon, M. H., Honavar, V., Jakiela, M., & Smith, R. E. (eds.). GECCO-99: Proceedings of the Genetic and Evolutionary Computation Conference Workshop Program (pp. 123-124). July 13-17, 1999, Orlando, Florida USA. San Francisco, CA: Morgan Kaufmann.
    • (1999) GECCO-99: Proceedings of the Genetic and Evolutionary Computation Conference Workshop Program , pp. 123-124
    • Knowles, J.1    Corne, D.2
  • 7
    • 0009482238 scopus 로고    scopus 로고
    • MOAQ an Ant-Q algorithm for multiple objective optimization problems
    • In Banzhaf, W., Daida, J., Eiben, A. E., Garzon, M. H., Honavar, V., Jakiela, M., & Smith, R. E. (eds.). July 13-17, 1999, Orlando, Florida USA. San Francisco, CA: Morgan Kaufmann
    • Mariano, C., Morales E. (1999). MOAQ an Ant-Q Algorithm for Multiple Objective Optimization Problems. In Banzhaf, W., Daida, J., Eiben, A. E., Garzon, M. H., Honavar, V., Jakiela, M., & Smith, R. E. (eds.). GECCO-99: Proceedings of theGenetic and Evolutionary Computation Conference (pp. 894-901). July 13-17, 1999, Orlando, Florida USA. San Francisco, CA: Morgan Kaufmann.
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    • Mariano, C.1    Morales, E.2
  • 8
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    • MOAQ a Distributed reinforcement learning algorithm for the solution of multiple objectives optimization problems
    • paper No. 111. Sept, Pachuca Hidalgo, Mexico, Sociedad Mexicana de Ciencias de la Com-putación
    • Mariano, C., Morales E. (1999). MOAQ a Distributed Reinforcement Learning Algorithm for the Solution of Multiple Objectives Optimization Problems. in Me-morias del Segundo Encuentro Nacional de Computación ENC99, paper No. 111. 12-15 Sept, Pachuca Hidalgo, Mexico, Sociedad Mexicana de Ciencias de la Com-putación.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.