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Volumn , Issue , 2005, Pages 1557-1558

Diversity as a selection pressure in dynamic environments

Author keywords

Diversity; Dynamic environments; Multi objective; Random immigrants

Indexed keywords

EVOLUTIONARY ALGORITHMS; GENETIC ALGORITHMS; OPTIMIZATION; RANDOM PROCESSES;

EID: 32444433163     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1068009.1068257     Document Type: Conference Paper
Times cited : (20)

References (9)
  • 1
    • 32444444952 scopus 로고    scopus 로고
    • Online
    • Online. http://www.aifb.uni-karlsruhe.de/~jbr/MovPeaks.
  • 4
    • 0000893858 scopus 로고
    • Genetic algorithms for changing environments
    • R.Mánner and B.Manderick, editors, Elsevier Science Publisher
    • J.J. Grefenstette. Genetic algorithms for changing environments. In R.Mánner and B.Manderick, editors, Parallel Problem Solving from Nature, pages 137-144. Elsevier Science Publisher, 1992.
    • (1992) Parallel Problem Solving from Nature , pp. 137-144
    • Grefenstette, J.J.1
  • 5
    • 84901453819 scopus 로고    scopus 로고
    • Memory enhanced evolutionary algorithms for changing optimisation problems
    • IEEE
    • J.Branke. Memory enhanced evolutionary algorithms for changing optimisation problems. In In Congress on Evolutionary Computation CEC99, pages 1875-1882. IEEE, 1999.
    • (1999) In Congress on Evolutionary Computation CEC99 , pp. 1875-1882
    • Branke, J.1
  • 6
    • 20944439075 scopus 로고    scopus 로고
    • Helper-objectives: Using multiobjective evolutionary algorithms for single-objective optimization
    • M.T. Jensen. Helper-objectives: Using multiobjective evolutionary algorithms for single-objective optimization. Journal of Mathematical Modelling and Algorithms, 1(25), 2004.
    • (2004) Journal of Mathematical Modelling and Algorithms , vol.1 , Issue.25
    • Jensen, M.T.1
  • 8
    • 0041376985 scopus 로고    scopus 로고
    • Genetic diversity as an objective in multi-objective evolutionary algorithms
    • A. Toffolo and E. Benini. Genetic diversity as an objective in multi-objective evolutionary algorithms. Evolutionary Computation, 11(2):151-168, 2003.
    • (2003) Evolutionary Computation , vol.11 , Issue.2 , pp. 151-168
    • Toffolo, A.1    Benini, E.2
  • 9
    • 7744223530 scopus 로고    scopus 로고
    • Dynamic pareto optimum GA against the changing environments
    • J. Branke and T. Back, editors, San Francisco, California, USA
    • K. Yamasaki. Dynamic pareto optimum GA against the changing environments. In J. Branke and T. Back, editors, Evolutionary Algorithms for Dynamic Optimization Problems, pages 47-50, San Francisco, California, USA, 7 2001.
    • (2001) Evolutionary Algorithms for Dynamic Optimization Problems , vol.7 , pp. 47-50
    • Yamasaki, K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.