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Volumn 14, Issue 6, 2006, Pages 589-607

Topological design of structures using population-based optimization methods

Author keywords

Checkerboard patterns; Compliance; Dynamic stiffness; Evolutionary algorithms; Topology optimization

Indexed keywords


EID: 33745590119     PISSN: 17415977     EISSN: 17415985     Source Type: Journal    
DOI: 10.1080/17415970600573437     Document Type: Conference Paper
Times cited : (9)

References (15)
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  • 3
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    • Structural topology optimization in linear and nonlinear elasticity using genetic algorithms
    • September 1995, Boston
    • Kane, C., Jouve, F. and Schoenauer, M., 1995, Structural topology optimization in linear and nonlinear elasticity using genetic algorithms. In: 21st ASME Design Automatic Conference, September 1995, Boston.
    • (1995) 21st ASME Design Automatic Conference
    • Kane, C.1    Jouve, F.2    Schoenauer, M.3
  • 4
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    • Topological optimum design using genetic algorithms
    • Kane, C. and Schoenauer, M., 1996, Topological optimum design using genetic algorithms. Control & Cybernetics, 25(5), 1059-1088.
    • (1996) Control & Cybernetics , vol.25 , Issue.5 , pp. 1059-1088
    • Kane, C.1    Schoenauer, M.2
  • 9
    • 0003984832 scopus 로고
    • Population-based incremental learning: A method for integrating genetic search based function optimization and competitive learning
    • Pennsylvania
    • Baluja, S., 1994, Population-based incremental learning: a method for integrating genetic search based function optimization and competitive learning, CMU_CS_163 (Pennsylvania).
    • (1994) CMU_CS_163
    • Baluja, S.1
  • 10
    • 26444479778 scopus 로고
    • Optimization by simulated annealing
    • Kirkpatrik, S., Gelatt, C.D. Jr. and Vecchi, M.P., 1983, Optimization by simulated annealing. Science, 220(4598), 671-680.
    • (1983) Science , vol.220 , Issue.4598 , pp. 671-680
    • Kirkpatrik, S.1    Gelatt Jr., C.D.2    Vecchi, M.P.3
  • 11
    • 0029358362 scopus 로고
    • Single and multiobjective structural optimization in discrete-continuous variables using simulated annealing
    • Benage, W.A. and Dhingra, A.K., 1994, Single and multiobjective structural optimization in discrete-continuous variables using simulated annealing. International Journal of Numerical Methods in Engineering, 38, 2753-2773.
    • (1994) International Journal of Numerical Methods in Engineering , vol.38 , pp. 2753-2773
    • Benage, W.A.1    Dhingra, A.K.2
  • 12
    • 32544448366 scopus 로고    scopus 로고
    • Structural topology optimisation using evolutionary algorithms
    • Thailand (in Thai)
    • Kunakote, T. and Bureerat, S., 2003, Structural topology optimisation using evolutionary algorithms. In: 17th ME-NETT, Thailand (in Thai) 109-115.
    • (2003) 17th ME-NETT , pp. 109-115
    • Kunakote, T.1    Bureerat, S.2
  • 13
    • 32544435127 scopus 로고    scopus 로고
    • A simple checkerboard suppression technique for topology optimisation using simulated annealing
    • Thailand
    • Bureerat, S. and Kunakote, T., 2003, A simple checkerboard suppression technique for topology optimisation using simulated annealing. In: 17th ME-NETT, Thailand, 85-90.
    • (2003) 17th ME-NETT , pp. 85-90
    • Bureerat, S.1    Kunakote, T.2
  • 14
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    • A simple scheme to prevent checkerboard patterns and one-node connected hinges in topology optimization
    • Poulsen, A., 2002, A simple scheme to prevent checkerboard patterns and one-node connected hinges in topology optimization. Structural and Multidisciplinary Optimization, 24, 396-399.
    • (2002) Structural and Multidisciplinary Optimization , vol.24 , pp. 396-399
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  • 15
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    • New evolutionary direction operator for genetic algorithms
    • Yamamoto, K. and Inoue, O., 1995, New evolutionary direction operator for genetic algorithms. AIAA, 33(10), 1990-1993.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.