Genetic algorithms for vehicle routing problem with recourse cost model

Jun Qi Chen*, Tomohiro Murata

*この研究の対応する著者

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

This paper deals with the vehicle routing problem involved with System fuzzy vehicle travel times. A two-stage possibility programming model is formulated and the influence of the fuzziness of travel times and service times is treated as recourse cost. By introducing the generalized mean value to define the Fuzzy Mean, the recourse possibility programming model can be transformed into an ordinary programming problem (Slowinski and Hapke in Scheduling under fuzziness. Physics, Heidelberg, 2000) and then a solution method based on Genetic Algorithms is proposed to give the optimal solution of the problem. Finally, some examples are given to illustrate the two-stage model and the solution algorithm.

本文言語English
ホスト出版物のタイトル19th International Conference on Industrial Engineering and Engineering Management
ホスト出版物のサブタイトルEngineering Economics Management
ページ903-916
ページ数14
DOI
出版ステータスPublished - 2013 12月 1
イベント19th International Conference on Industrial Engineering and Engineering Management: Engineering Economics Management - Changsha, China
継続期間: 2012 10月 272012 10月 29

出版物シリーズ

名前19th International Conference on Industrial Engineering and Engineering Management: Engineering Economics Management

Conference

Conference19th International Conference on Industrial Engineering and Engineering Management: Engineering Economics Management
国/地域China
CityChangsha
Period12/10/2712/10/29

ASJC Scopus subject areas

  • 産業および生産工学

フィンガープリント

「Genetic algorithms for vehicle routing problem with recourse cost model」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル