English  |  正體中文  |  简体中文  |  Items with full text/Total items : 26988/38789
Visitors : 2344716      Online Users : 29
RC Version 4.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search
LoginUploadHelpAboutAdminister

Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/36577

Title: A scenario decomposition-genetic algorithm method for solving stochastic air cargo container loading problems
Authors: Tang;Ching-Hui
湯慶輝
Contributors: NTOU:Department of Transportation Science
國立臺灣海洋大學:運輸科學系
Keywords: Scenario decomposition;Genetic algorithm;Air express cargo loading;Stochastic demands
Date: 2011
Issue Date: 2015-05-19T06:31:57Z
Publisher: Transportation Research Part E
Abstract: Abstract:In this study, we develop a solution method for solving air express cargo loading problems under stochastic demands. The method is designed by combining the scenario decomposition and genetic algorithm (GA) techniques. Numerical tests are performed to evaluate the performance of the solution method using data for the Asian operations of an international express carrier. The results show that the solutions obtained from our method are very close to the optimal solutions. Furthermore, our method has an advantage in terms of computation time over the CPLEX optimization algorithm.
Relation: 47(4), pp.520-531
URI: http://ntour.ntou.edu.tw/handle/987654321/36577
Appears in Collections:[運輸科學系] 期刊論文

Files in This Item:

File Description SizeFormat
index.html0KbHTML96View/Open


All items in NTOUR are protected by copyright, with all rights reserved.

 


著作權政策宣告: 本網站之內容為國立臺灣海洋大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,請合理使用本網站之內容,以尊重著作權人之權益。
網站維護: 海大圖資處 圖書系統組
DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback