教師資料查詢 | 類別: 期刊論文 | 教師: 林豐政 LIN FENG-JENG (瀏覽個人網頁)

標題:A two-stage genetic algorithm for solving the transportation problem with fuzzy demands and fuzzy supplies
學年98
學期1
出版(發表)日期2009/12/01
作品名稱A two-stage genetic algorithm for solving the transportation problem with fuzzy demands and fuzzy supplies
作品名稱(其他語言)
著者Lin, Feng-Tse; Tsai, Tzong-Ru
單位淡江大學統計學系
出版者Kumamoto: ICIC International
著錄名稱、卷期、頁數International Journal of Innovative Computing, Information and Control 5(12)pt.B, pp.4775-4785
摘要This paper investigates solving the transportation problem with fuzzy demands and fuzzy supplies using a two-stage genetic algorithm (GA). At the first stage, we simulate a fuzzy number by distributing a fuzzy value into certain partition points. We then use GA to evolve the values in each partition point and the final values represent the membership grade of that fuzzy number. As a result, we obtain the estimated values of all fuzzy demands and fuzzy supplies and the original fuzzy problem becomes a defuzzified instance. The best solution to the defuzzified instance is then solved by the following stage via evolution process. The experimental results show that the proposed two-stage GA approach outperforms the other fuzzy approach to solving the transportation problem with fuzzy demands and fuzzy supplies.
關鍵字Genetic algorithms; Fuzzy transportation problem; Fuzzy demand; Fuzzy supply
語言英文
ISSN1349-4198
期刊性質國外
收錄於SCI
產學合作
通訊作者
審稿制度
國別日本
公開徵稿
出版型式紙本
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