메뉴 건너뛰기




Volumn 2, Issue , 2002, Pages 1677-1681

Multiobjective optimization using dynamic neighborhood particle swarm optimization

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; PARETO PRINCIPLE; PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84901470581     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2002.1004494     Document Type: Conference Paper
Times cited : (604)

References (10)
  • 1
    • 85133775397 scopus 로고    scopus 로고
    • A comprehensive survey of evolutionary-based multiobjective optimization techniques
    • Aug
    • Coello Coello, C. A. A Comprehensive Survey of Evolutionary-Based Multiobjective Optimization Techniques, Knowledge and Information Systems, vol. 1, no. 3, pp. 269-308, Aug.1999.
    • (1999) Knowledge and Information Systems , vol.1 , Issue.3 , pp. 269-308
    • Coello Coello, C.A.1
  • 3
  • 4
    • 0002629429 scopus 로고
    • An overview of evolutionary algorithms in multiobjective optimization
    • Fonseca, C. M. and Fleming, P. J. An overview of evolutionary algorithms in multiobjective optimization, Evolutionary Computation, vol. 3, no. l,pp. 1-16, 1995.
    • (1995) Evolutionary Computation , vol.3 , Issue.1 , pp. 1-16
    • Fonseca, C.M.1    Fleming, P.J.2
  • 9
    • 0034199979 scopus 로고    scopus 로고
    • Comparison of multiobjective evolutionary algorithms: Empirical results
    • Zitzler, E., Deb, K., and Thiele, L. Comparison of multiobjective evolutionary algorithms: empirical results, Evolutionary Computation, vol. 8, no. 2, pp. 173-195,2000.
    • (2000) Evolutionary Computation , vol.8 , Issue.2 , pp. 173-195
    • Zitzler, E.1    Deb, K.2    Thiele, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.