English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 49200/83641 (59%)
造訪人次 : 7097401      線上人數 : 39
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/21081


    題名: Dynamic programming decision path encoding of genetic algorithms for production allocation problems
    作者: Chang, Ying-Hua;Hou, Young-Chang
    貢獻者: 淡江大學資訊管理學系
    關鍵詞: Genetic Algorithms;Dynamic programming decision path encoding;Production allocation;Constraints satisfaction;Optimization problems
    日期: 2008-02-01
    上傳時間: 2009-11-30 13:13:12 (UTC+8)
    出版者: Kidlington: Pergamon
    摘要: Genetic algorithm is a novel optimization technique for solving constrained optimization problems. The penalty function methods are the popular approaches because of their simplicity and ease of implementation. Penalty encoding method needs more generations to get good solutions because it causes invalid chromosomes during evolution. In order to advance the performance of Genetic Algorithms for solving production allocation problems, this paper proposes a new encoding method, which applies the upper/lower bound concept of dynamic programming decision path on the chromosome encoding of genetic algorithm, that encodes constraints into chromosome to ensure that chromosomes are all valid during the process of evolution. Utilization of the implicated parallel processing characteristic of genetic algorithms to improve dynamic programming cannot guarantee to solve complex problems in the polynomial time. Additionally, a new simultaneous crossover and mutation operation is proposed to enable the new method to run correctly following the standard genetic algorithm procedures. This approach is evaluated on some test problems. Solutions obtained by this approach indicate that our new encoding genetic algorithms certainly accelerate the performance of the evolution process.
    關聯: Computers & Industrial Engineering 54(1), pp.53-65
    DOI: 10.1016/j.cie.2007.06.034
    顯示於類別:[資訊管理學系暨研究所] 期刊論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    0360-8352_54(1)p53-65.pdf495KbAdobe PDF0檢視/開啟
    index.html0KbHTML335檢視/開啟

    在機構典藏中所有的資料項目都受到原著作權保護.

    TAIR相關文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回饋