勤益科大機構典藏:Item 987654321/2735
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 2928/5721 (51%)
造访人次 : 375927      在线人数 : 641
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧：
  • 您可在西文检索词汇前后加上"双引号"，以获取较精准的检索结果
  • 若欲以作者姓名搜寻，建议至进阶搜寻限定作者字段，可获得较完整数据
    •  进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://ir.lib.ncut.edu.tw/handle/987654321/2735


    题名: On Mixed-Discrete Nonlinear Optimization Problems: A Comparative Study
    作者: Lin, S.S.;Zhang, C.;Wang, H.P.
    日期: 1995
    上传时间: 2009-08-19 09:53:54 (UTC+8)
    摘要: Modified genetic algorithms are developed and presented in this paper. Principles of
    genetics and natural selection are adapted into the search procedure for mixed-discrete
    nonlinear optimization problems. Such classes of global optimization algorithms are based
    on a randomized selection of design space that yields an improvement in the objective
    function. An implementation of the approach to a series of test problems in engineering
    design optimization with diversity of variable representations and demonstrated
    nonconvexities are discussed, and the results were compared with other algorithms. Results
    show that genetic algorithms are able to consistently provide efficient, fine quality solutions,
    that are robust to genetic parameters and provide a significant capability for mixed-discrete
    constrained nonlinear optimization problems.
    關聯: Engineering Optimization, 23, 287-300
    显示于类别:[企業管理系(所)] 【企業管理系所】期刊論文

    文件中的档案:

    没有与此文件相关的档案.



    在NCUTIR中所有的数据项都受到原著作权保护.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈