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Volumn , Issue , 2006, Pages 1647-1653

A two-population evolutionary algorithm for constrained optimization problems

Author keywords

[No Author keywords available]

Indexed keywords

EVOLUTIONARY ALGORITHMS; MUTAGENESIS; NONLINEAR PROGRAMMING; PROBLEM SOLVING;

EID: 34547380768     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (20)
  • 3
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    • C. A. Coello Coello, "Theoretical and Numerical Constraint-Handling Techniques used with Evolutionary Algorithms: A Survey of the State of the Art," Computer Methods in Applied Mechanics and Engineering, Vol. 191, No. 11-12, pp. 1245-1287, 2002.
    • (2002) Computer Methods in Applied Mechanics and Engineering , vol.191 , Issue.11-12 , pp. 1245-1287
    • Coello Coello, C.A.1
  • 5
    • 25444524580 scopus 로고    scopus 로고
    • Evolutionary Algorithms for Constrained Parameter Optimization Problems
    • Z. Michalewicz and M. Schoenauer, "Evolutionary Algorithms for Constrained Parameter Optimization Problems," Evolutionary Computation, Vol. 4, No. 1, pp. 1-32, 1996.
    • (1996) Evolutionary Computation , vol.4 , Issue.1 , pp. 1-32
    • Michalewicz, Z.1    Schoenauer, M.2
  • 7
    • 81955163228 scopus 로고    scopus 로고
    • Sphere Operators and Their Applicability for Constrained Parameter Optimization Problems
    • San Diego, CA, pp
    • M. Schoenauer and Z. Michalewicz, "Sphere Operators and Their Applicability for Constrained Parameter Optimization Problems," The 7th Annual Conf. on Evolutionary Programming, San Diego, CA, pp. 241-250, 1998.
    • (1998) The 7th Annual Conf. on Evolutionary Programming , pp. 241-250
    • Schoenauer, M.1    Michalewicz, Z.2
  • 8
    • 34547283735 scopus 로고
    • Manipulating Subpopulations of Feasible and Infeasible Solutions in Genetic Algorithms
    • Indianapolis, Feb. 14-16, pp
    • D. A. Sekharan and R.L. Wainwright, "Manipulating Subpopulations of Feasible and Infeasible Solutions in Genetic Algorithms," ACM/SIGAPP Symposium on Applied Computing (SAC'93), Indianapolis, Feb. 14-16, pp. 118-125, 1993.
    • (1993) ACM/SIGAPP Symposium on Applied Computing (SAC'93) , pp. 118-125
    • Sekharan, D.A.1    Wainwright, R.L.2
  • 10
    • 0029545558 scopus 로고
    • Genocop III: A Co-evolutionary Algorithm for Numerical Optimization Problems with Nonlinear Constraints
    • IEEE Press, pp
    • Z. Michalewicz and G. Nazhiyath, "Genocop III: A Co-evolutionary Algorithm for Numerical Optimization Problems with Nonlinear Constraints," The 2nd IEEE Intl Conf. on Evolutionary Computation, IEEE Press, pp. 647-651, 1995.
    • (1995) The 2nd IEEE Intl Conf. on Evolutionary Computation , pp. 647-651
    • Michalewicz, Z.1    Nazhiyath, G.2
  • 13
    • 0032659841 scopus 로고    scopus 로고
    • Coevolutionary Genetic Adaptation: A New Paradigm for Distributed Multidisciplinary Design Optimization
    • St. Louis, MO, AIAA Paper No. 1999-1428
    • P. B. Nair and A. J. Keane, "Coevolutionary Genetic Adaptation: A New Paradigm for Distributed Multidisciplinary Design Optimization", The 40th AIAA/ASME/ASCE/AHS/ASC Structures Structural Dynamics and Materials Conf., St. Louis, MO, AIAA Paper No. 1999-1428, 1999.
    • (1999) The 40th AIAA/ASME/ASCE/AHS/ASC Structures Structural Dynamics and Materials Conf
    • Nair, P.B.1    Keane, A.J.2
  • 14
    • 0034159170 scopus 로고    scopus 로고
    • Use of a Self-Adaptive Penalty Approach for Engineering Optimization Problems
    • C. A. Coello Coello, "Use of a Self-Adaptive Penalty Approach for Engineering Optimization Problems," Computers in Industry, Vol. 41, No. 2, pp. 113-127, 2000.
    • (2000) Computers in Industry , vol.41 , Issue.2 , pp. 113-127
    • Coello Coello, C.A.1
  • 16
    • 35048842730 scopus 로고    scopus 로고
    • Exploring the Evolutionary Details of a Feasible-Infeasible Two-Population GA
    • Birmingham UK, pp
    • S. O. Kimbrough, L. Ming and D. H. Wood. "Exploring the Evolutionary Details of a Feasible-Infeasible Two-Population GA," The 8th Parallel Problem Solving From Nature, Birmingham UK, pp. 292-301, 2004.
    • (2004) The 8th Parallel Problem Solving From Nature , pp. 292-301
    • Kimbrough, S.O.1    Ming, L.2    Wood, D.H.3
  • 19
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    • Multiparent Recombination in Evolutionary Computing
    • A. Ghosh and S. Tsutsui, editors, Springer, pp
    • A.E. Eiben, "Multiparent Recombination in Evolutionary Computing," in A. Ghosh and S. Tsutsui, editors, Advances in Evolutionary Computing, Natural Computing Series, Springer, pp. 175-192, 2002.
    • (2002) Advances in Evolutionary Computing, Natural Computing Series , pp. 175-192
    • Eiben, A.E.1
  • 20
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    • Real-coded genetic algorithms and interval-schemata
    • San Mateo, CA, Morgan Kaufman, pp, BLX
    • L. J. Eshelman and J. D. Schaffer, "Real-coded genetic algorithms and interval-schemata," in Foundations of Genetic Algorithms-2. San Mateo, CA, Morgan Kaufman, pp. 187-202, 1993. BLX
    • (1993) Foundations of Genetic Algorithms-2 , pp. 187-202
    • Eshelman, L.J.1    Schaffer, J.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.