东南大学学报（英文版）2008，Vol.24Issue(2)：222-227,6.
逆向需求模糊的多车辆集散货物路线问题
Multiple vehicle routing problem integrated reverse logistics with fuzzy reverse demands
摘要
Abstract
A new type of vehicle routing problem (VRP),multiple vehicle routing problem integrated reverse logistics(MVRPRL), is studied. In this problem, there is delivery or pick-up ( or both) and uncertain features in the demands of the clients.The deliveries of every client as uncertain parameters areexpressed as triangular fuzzy numbers. In order to describeMVRPRL, a multi-objective fuzzy programming model withcredibility measure theory is constructed. Then the simulation-based tabu search algorithm combining inter-route and intra-routeneighborhoods and embedded restarts are designed to solve it.Computational results show that the tabu search algorithmdeveloped is superior to sweep algorithms and that compared withhandling each on separate routes, the transportation costs can bereduced by 43% through combining pickups with deliveries.关键词
逆向物流/集散一体化/置信度理论/禁忌搜索算法/模糊模拟Key words
reverse logistics/ pickup and delivery/ credibilitymeasure theory/ tabu search algorithm/ fuzzy simulation分类
管理科学引用本文复制引用
李建,达庆利..逆向需求模糊的多车辆集散货物路线问题[J].东南大学学报（英文版）,2008,24(2):222-227,6.基金项目
The National Natural Science Foundation of China(No.70772059), Youth Science and Technology Innovation Foundation of Nan-jing Agriculture University (No. KJ06029). （No.70772059）
