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Volumn 83, Issue 8, 2000, Pages 1-9

Floating Point Genetic Algorithms for Nonconvex Nonlinear Programming Problems: Revised GENOCOP III

Author keywords

Floating point representation; Genetic algorithm; Nonconvex nonlinear programming problems; Reference point; Search point

Indexed keywords


EID: 0043231854     PISSN: 10420967     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1520-6440(200008)83:8<1::AID-ECJC1>3.0.CO;2-Y     Document Type: Article
Times cited : (2)

References (11)
  • 6
    • 0000982424 scopus 로고
    • Using genetic algorithms in engineering design optimization with non-linear constraints
    • Powell D, Skolnick M. Using genetic algorithms in engineering design optimization with non-linear constraints. Proc Fifth Int Conference on Genetic Algorithms, p 424-430, 1993.
    • (1993) Proc Fifth int Conference on Genetic Algorithms , pp. 424-430
    • Powell, D.1    Skolnick, M.2
  • 9
    • 0028602950 scopus 로고
    • On the use of non-stationary penalty functions to solve nonlinear constrained optimization problems with gas
    • Joines J, Houck C. On the use of non-stationary penalty functions to solve nonlinear constrained optimization problems with gas. Proc First IEEE Int Conference on Evolutionary Computation, p 579-584, 1994.
    • (1994) Proc First IEEE int Conference on Evolutionary Computation , pp. 579-584
    • Joines, J.1    Houck, C.2
  • 11
    • 25444524580 scopus 로고    scopus 로고
    • Evolutionary algorithms for constrained parameter optimization problems
    • Michalewicz Z. Evolutionary algorithms for constrained parameter optimization problems. Evol Comput 1996;4:1-32.
    • (1996) Evol Comput , vol.4 , pp. 1-32
    • Michalewicz, Z.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.