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Volumn 4115 LNBI -III, Issue , 2006, Pages 72-80

A smart particle swarm optimization algorithm for multi-objective problems

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FUNCTION EVALUATION; ITERATIVE METHODS; OPTIMAL SYSTEMS; OPTIMIZATION; THEOREM PROVING;

EID: 33749540149     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11816102_8     Document Type: Conference Paper
Times cited : (4)

References (13)
  • 1
    • 33749580896 scopus 로고    scopus 로고
    • A particle swarm optimizer for multi-objective optimization
    • Cagnina L. , Esquivel S. : A Particle Swarm Optimizer for Multi-Objective Optimization. JCS and T. , 4 (2005) 204-210
    • (2005) JCS and T , vol.4 , pp. 204-210
    • Cagnina, L.1    Esquivel, S.2
  • 3
    • 84901470581 scopus 로고    scopus 로고
    • Multiobjective optimization using dynamic neighborhood particle swarm optimization
    • Piscataway, IEEE Service Center, NJ
    • Hu, X. , Eberhart, R. : Multiobjective Optimization using Dynamic Neighborhood Particle Swarm Optimization. In Proc. IEEE World Congress on Computational Intelligence, Piscataway, IEEE Service Center. , NJ (2002) 1677-1681
    • (2002) Proc. IEEE World Congress on Computational Intelligence , pp. 1677-1681
    • Hu, X.1    Eberhart, R.2
  • 5
    • 84901438927 scopus 로고    scopus 로고
    • MOPSO: A proposal for multiple objective particle swarm optimization
    • Piscataway, IEEE Service Center, NJ
    • Coello, C. A. C. , Lechuga, M. S. : MOPSO: A Proposal for Multiple Objective Particle Swarm Optimization. In Proc. Congress on Evolutionary Computation, Piscataway, IEEE Service Center. , NJ, 2 (2002) 1051-1056
    • (2002) Proc. Congress on Evolutionary Computation , vol.2 , pp. 1051-1056
    • Coello, C.A.C.1    Lechuga, M.S.2
  • 6
    • 3142781424 scopus 로고    scopus 로고
    • A multi-objective algorithm based upon particle swarm optimization, an efficient data structure and turbulence
    • Birmingham, UK.
    • Fieldsend, J. E. , Singh, S. : A Multi-objective Algorithm Based upon Particle Swarm Optimization, An Efficient Data Structure and Turbulence. In Proc. Workshop on Computational Intelligence, Birmingham, UK. (2002) 34-44
    • (2002) Proc. Workshop on Computational Intelligence , pp. 34-44
    • Fieldsend, J.E.1    Singh, S.2
  • 7
    • 84942162725 scopus 로고    scopus 로고
    • Strafegies for finding good local guides in Multiobjective Particle Swarm Optimization (MOPSO)
    • Indiana, USA
    • Mostaghim, S. , Teich, J. : Strafegies for Finding Good Local Guides in Multiobjective Particle Swarm Optimization (MOPSO). In Proc. IEEE Swarm Intelligence Symposium, Indiana, USA (2003) 26-33
    • (2003) Proc. IEEE Swarm Intelligence Symposium , pp. 26-33
    • Mostaghim, S.1    Teich, J.2
  • 8
    • 84901406129 scopus 로고    scopus 로고
    • The role of ε dominance in multi-objective particle swarm optimization methods
    • Canberra, Australia
    • Mostaghim, S. , Teich, J. : The Role of ε Dominance in Multi-objective Particle Swarm Optimization Methods. In Proc. Congress on Evolutionary Computation, Canberra, Australia (2003) 1764-1771
    • (2003) Proc. Congress on Evolutionary Computation , pp. 1764-1771
    • Mostaghim, S.1    Teich, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.