메뉴 건너뛰기




Volumn , Issue , 2007, Pages 576-583

On performance metrics and particle swarm methods for dynamic multiobjective optimization problems

Author keywords

[No Author keywords available]

Indexed keywords

EVOLUTIONARY MULTIOBJECTIVE OPTIMIZATION; OPTIMIZATION PROBLEMS;

EID: 68749084370     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2007.4424522     Document Type: Conference Paper
Times cited : (57)

References (19)
  • 4
    • 7744219967 scopus 로고    scopus 로고
    • Dynamic multiobjective optimization problems: Test cases, approximation and applications
    • Farina, M., Deb, K. and Amato, P.: Dynamic multiobjective optimization problems: test cases, approximation and applications. In IEEE Trans. on Evolutionary Computation 8(5), (2004) 425-442.
    • (2004) IEEE Trans. on Evolutionary Computation , vol.8 , Issue.5 , pp. 425-442
    • Farina, M.1    Deb, K.2    Amato, P.3
  • 7
    • 7744223530 scopus 로고    scopus 로고
    • Dynamic Pareto optimum GA against the changing environments
    • San Francisco, CA
    • Yamasaki, K.: Dynamic Pareto optimum GA against the changing environments. In Proc. Genetic Evolutionary Computation Conf. Workshop, San Francisco, CA (2001) 47-50.
    • (2001) Proc. Genetic Evolutionary Computation Conf. Workshop , pp. 47-50
    • Yamasaki, K.1
  • 8
    • 7744230202 scopus 로고    scopus 로고
    • An alife-inspired evolutionary algorithm applied to dynamic multi-objective problems
    • C.H. Dagli, et al. (eds.), New York
    • Bingul, Z., Sekmen, A. and Zein-Sabatto, S.: An alife-inspired evolutionary algorithm applied to dynamic multi-objective problems. In Proc. Artificial Neural Networks Engineering Conf., C.H. Dagli, et al. (eds.), New York, (2000) 273-278.
    • (2000) Proc. Artificial Neural Networks Engineering Conf. , pp. 273-278
    • Bingul, Z.1    Sekmen, A.2    Zein-Sabatto, S.3
  • 9
    • 35048825495 scopus 로고    scopus 로고
    • Constructing dynamic test problems using the multi-objective optimization concept
    • Raidl, G.R. et al. (eds.) Springer
    • Jin, Y. and Sendhoff, B.: Constructing dynamic test problems using the multi-objective optimization concept. In: Applications of Evolutionary Computing. LNCS 3005, Raidl, G.R. et al. (eds.) Springer (2004) 525-536.
    • (2004) Applications of Evolutionary Computing. LNCS 3005 , pp. 525-536
    • Jin, Y.1    Sendhoff, B.2
  • 10
    • 3142781424 scopus 로고    scopus 로고
    • A multi-objective algorithm based upon particle swarm optimisation, an efficient data structure and turbulence
    • Birmingham, UK
    • Fieldsend, E. and Singh, S.: A Multi-Objective Algorithm based upon Particle Swarm Optimisation, an Efficient Data Structure and Turbulence, Proc. of the 2002 U.K. Workshop on Computational Intelligence, Birmingham, UK(2002) 37-44.
    • (2002) Proc. of the 2002 U.K. Workshop on Computational Intelligence , pp. 37-44
    • Fieldsend, E.1    Singh, S.2
  • 12
    • 17444430405 scopus 로고    scopus 로고
    • Solving multiobjective optimization problems using an artificial immune system
    • June
    • Coello, C.A.C. and Cortes, N.C.: Solving Multiobjective Optimization Problems using an Artificial Immune System, Genetic Programming and Evolvable Machines, Vol.6, No.2, pp.163-190, June 2005.
    • (2005) Genetic Programming and Evolvable Machines , vol.6 , Issue.2 , pp. 163-190
    • Coello, C.A.C.1    Cortes, N.C.2
  • 13
    • 35248851524 scopus 로고    scopus 로고
    • A non-dominated sorting particle swarm optimizer for multiobjective optimization
    • Erick Cant-Paz et al. (editors), Proc. of Genetic and Evolutionary Computation (GECCO'03) Part I, Springer
    • Li, X.: A Non-dominated Sorting Particle Swarm Optimizer for Multiobjective Optimization, in Erick Cant-Paz et al. (editors), Proc. of Genetic and Evolutionary Computation (GECCO'03), Part I, Springer, LNCS 2723, (2003) 37-48.
    • (2003) LNCS , vol.2723 , pp. 37-48
    • Li, X.1
  • 14
    • 35048841216 scopus 로고    scopus 로고
    • Better spread and convergence: Particle swarm multiobjective optimization using the maximin fitness function
    • K. Deb, et al., (eds.) Proc. of Genetic and Evolutionary Computation Conference 2004 (GECCO'04), Seattle, USA
    • Li, X.: Better Spread and Convergence: Particle Swarm Multiobjective Optimization using the Maximin Fitness Function. In K. Deb, et al., (eds.) Proc. of Genetic and Evolutionary Computation Conference 2004 (GECCO'04), LNCS 3102. Seattle, USA (2004) 117-128.
    • (2004) LNCS , vol.3102 , pp. 117-128
    • Li, X.1
  • 16
    • 85018104842 scopus 로고    scopus 로고
    • Pareto simulated annealing - A metaheuristic technique for multipleobjective combinatorial optimization
    • Czyzak, P. and Jaszkiewicz A.: Pareto simulated annealing - a metaheuristic technique for multipleobjective combinatorial optimization. Journal of Multi-Criteria Decision Analysis, 7, (1998) 34-47.
    • (1998) Journal of Multi-Criteria Decision Analysis , vol.7 , pp. 34-47
    • Czyzak, P.1    Jaszkiewicz, A.2
  • 17
    • 35248815986 scopus 로고    scopus 로고
    • The maximin fitness function - Multiobjective city and regional planning
    • Balling, R.: The Maximin Fitness Function - Multiobjective City and Regional Planning. In Proc. of EMO 2003, (2003) 1-15.
    • (2003) Proc. of EMO 2003 , pp. 1-15
    • Balling, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.