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Volumn 10, Issue 32, 2006, Pages 67-76

Multiple objective particle swarm optimization for traveling salesman problem;Optimizatión de enjambre de partículas aplicada al problema del cajero viajante bi-objetivo

Author keywords

[No Author keywords available]

Indexed keywords


EID: 33845863701     PISSN: 11373601     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (3)

References (17)
  • 3
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    • MOPSO: A proposal for multiple objective particle swarm optimization
    • [Coello02] Piscataway, New Jersey, May
    • [Coello02] C. A. Coello Coello and M. S. Lechuga. "MOPSO: A Proposal for Multiple Objective Particle Swarm Optimization". In Congress on Evolutionary Computation CEC 2002, Vol. 2, pp. 1051-1056, Piscataway, New Jersey, May 2002.
    • (2002) Congress on Evolutionary Computation CEC 2002 , vol.2 , pp. 1051-1056
    • Coello Coello, C.A.1    Lechuga, M.S.2
  • 5
    • 3142781424 scopus 로고    scopus 로고
    • A multi-objective algorithm based upon particle Swarm optimization, an efficient data structure and turbulence
    • [Fieldsend02] Birmingham, UK, September
    • [Fieldsend02] J. E. Fieldsend and S. Singh. "A Multi-Objective Algorithm based upon Particle Swarm Optimization, an Efficient Data Structure and Turbulence". In Proceedings of the 2002 U.K. Workshop on Computational Intelligence, pp. 37-44, Birmingham, UK, September 2002.
    • (2002) Proceedings of the 2002 U.K. Workshop on Computational Intelligence , pp. 37-44
    • Fieldsend, J.E.1    Singh, S.2
  • 6
    • 33845878218 scopus 로고    scopus 로고
    • Using unconstrained elite archives for multi objective optimization
    • [Fieldsend01] (Submitted)
    • [Fieldsend01] J. E. Fieldsend and S. Singh. "Using Unconstrained Elite Archives for Multi Objective Optimization". IEEE Transactions on Evolutionary Computation (Submitted), 2001.
    • (2001) IEEE Transactions on Evolutionary Computation
    • Fieldsend, J.E.1    Singh, S.2
  • 7
    • 0038827260 scopus 로고    scopus 로고
    • Multiobjective optimization using dynamic neighborhood particle Swarm optimization
    • [Hu02] Hawaii, May 12-17, IEEE Press
    • [Hu02] X. Hu and R. Eberhart. "Multiobjective Optimization Using Dynamic Neighborhood Particle Swarm Optimization". Computational Intelligence, Hawaii, May 12-17, 2002. IEEE Press.
    • (2002) Computational Intelligence
    • Hu, X.1    Eberhart, R.2
  • 11
    • 84942162725 scopus 로고    scopus 로고
    • Strategies for finding good local guides in multiobjective particle Swarm optimization (MOPSO)
    • [Mostaghim03] Indianapolis, Indiana, USA, April
    • [Mostaghim03] S. Mostaghim and J. Teich. "Strategies for Finding Good Local Guides in Multiobjective Particle Swarm Optimization (MOPSO)". In 2003 IEEE Swarm Intelligence Symposium Proceedings, pp. 26-33, Indianapolis, Indiana, USA, April 2003.
    • (2003) 2003 IEEE Swarm Intelligence Symposium Proceedings , pp. 26-33
    • Mostaghim, S.1    Teich, J.2
  • 12
    • 84986207680 scopus 로고    scopus 로고
    • Solving multiobjective multicast routing problem with a new ant colony optimization approach
    • [Pinto05] Cali, Colombia
    • [Pinto05] D. Pinto and B. Barán. "Solving Multiobjective Multicast Routing Problem with a new Ant Colony Optimization approach". LANC'05, Cali, Colombia. 2005.
    • (2005) LANC'05
    • Pinto, D.1    Barán, B.2
  • 13
    • 0036522301 scopus 로고    scopus 로고
    • A Swarm metaphor for multiobjective design optimization
    • [Ray02]
    • [Ray02] T. Ray and K. M. Liew. "A Swarm Metaphor for Multiobjective Design Optimization". Engineering Optimization, Vol. 34, No. 2, pp. 141-153, 2002.
    • (2002) Engineering Optimization , vol.34 , Issue.2 , pp. 141-153
    • Ray, T.1    Liew, K.M.2
  • 16
    • 0003808330 scopus 로고    scopus 로고
    • [Veldhuizen99] PhD thesis, Department of Electrical and Computer Engineering. Graduate School of Engineering. Air Force Institute of Technology, Wright-Patterson AFB, Ohio, May
    • [Veldhuizen99] D. A. van Veldhuizen. "Multiobjective Evolutionary Algorithms: Classifications, Analyses, and New Innovations". PhD thesis, Department of Electrical and Computer Engineering. Graduate School of Engineering. Air Force Institute of Technology, Wright-Patterson AFB, Ohio, May 1999.
    • (1999) Multiobjective Evolutionary Algorithms: Classifications, Analyses, and new Innovations
    • Van Veldhuizen, D.A.1
  • 17
    • 0034199979 scopus 로고    scopus 로고
    • Comparison of multiobjective evolutionary algorithms. Empirical result
    • [Zitzler00]
    • [Zitzler00] E. Zitzler, K. Deb and L. Thiele. "Comparison of multiobjective evolutionary algorithms. Empirical result", Evolutionary Computation, pp. 173-195, 2000.
    • (2000) Evolutionary Computation , pp. 173-195
    • Zitzler, E.1    Deb, K.2    Thiele, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.