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Student Number 83342012
Author Ming-Der May(梅明德)
Author's Email Address No Public.
Statistics This thesis had been viewed 504 times. Download 5 times.
Department Civil Engineering
Year 1998
Semester 2
Degree Ph.D.
Type of Document Doctoral Dissertation
Language zh-TW.Big5 Chinese
Title The Model and Solution Algorithms for On-line Vehicle Routing Problem with Time Windows
Date of Defense
Page Count 303
Keyword
  • anytime algorithm
  • empirical study and analysis
  • heuristic algorithm
  • on-line algorithm
  • Vehicle routing problem with time windows
  • Abstract In the large amount of literature about Vehicle Routing and Scheduling Problems (VRSP), most of them are focused on static and planning problems, and the on-line version of these problems still do not received enough attentions now. Therefore, the purpose of this study is to clarify the meanings of this on-line Vehicle Routing Problem with Time Windows (OVRPTW) and to design models and solution algorithms for it. This problem differs from the traditional off-line problem in the dynamical arrival of requests and the execution of the partial tour during the run time. The data structure of new arrived request is designed as a linking list, and is noted as a dynamic queuing list (DQL). To achieve the requirement of on-line computing, this study develops route construction heuristics based on the concepts of on-line algorithms, and route improvement methods based on anytime algorithms. Three serving policies that have different kinds of last departure time are proposed to evaluate the relations between departure time and the quality of on-line solutions. All the proposed heuristic algorithms are evaluated in the empirical study. The on-line test problems are modified from the problems used in Solomon (1983). According to these comprehensive computational results, the proposed solution algorithms and frameworks are adequate in solving the OVRPTW. Furthermore, the different departure time policies have significant impact on the solution quality, and more temporal or spatial serving policies are encouraged to provide better on-line solutions. Finally, these analyses provide many detailed insights of the OVRPTW and could enhance the development of future study.
    Table of Content 封面
    摘要
    英文摘要
    誌謝
    目錄
    圖目錄
    表目錄
    第一章 緒論
    1.1 研究動機與目的
    1.2 研究內容與範圍
    1.3 論文架構
    第二章 相關研究與文獻回顧
    2.1 緒論
    2.2 時窗限制車輛路線問題
    2.3 動態車輛路線問題與模式
    2.4 相關應用研究
    2.5 先進科技應用
    2.6 線上型演算法
    2.7 隨時演算法
    2.8 小結
    第三章 問題界定與求解方式分析
    3.1 動態模式與線上型模式探討
    3.2 線上型時窗限制車輛路線問題
    3.3 線上求解課題與策略
    3.4 線上型VRPTW演算法設計
    3.5 線上型測試問題集產生
    3.6 小結
    第四章 線上型路線建構演算法
    4.1 緒論
    4.2 先適型演算法
    4.3 最適型演算法
    4.4 線上型SOLOMON插入式啟發法
    4.5 線上測試流程
    4.6 實例測試
    4.7 批次處理測試與分析
    4.8 本章小結
    第五章 線上型路線改善演算法
    5.1 緒論
    5.2 基本求解架構
    5.3 線上改善之可用時間計算
    5.4 時間限制式處理與時間變數更新
    5.5 路線內與路線間交換方式設計
    5.6 隨機性線上改善法
    5.7 確定性線上改善法
    5.8 小結
    第六章 整合式線上求解流程與實例測試
    6.1 整合式線上求解流程
    6.2 線上型VRPTW求解測試與簡例示範
    6.3 不同線上型求解演算法的比較
    6.4 不同最晚發時間的比較
    6.5 不同測試問題類型之間的比較
    6.6 其他特性分析與比較
    6.7 本章小結
    第七章 結論與建議
    7.1 結論
    7.2 後續研究
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    Advisor
  • How-Ming Shieh(謝浩明)
  • Files No Any Full Text File.
    Date of Submission

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