Heuristic approaches to vehicle routing with backhauls and time windows

被引:88
作者
Thangiah, SR
Potvin, JY
Sun, T
机构
[1] UNIV MONTREAL, CTR RECH TRANSPORTS, MONTREAL, PQ H3C 3J7, CANADA
[2] SLIPPERY ROCK UNIV, DEPT COMP SCI, ARTIFICIAL INTELLIGENCE & ROBOT LAB, SLIPPERY ROCK, PA 16057 USA
基金
美国国家科学基金会; 加拿大自然科学与工程研究理事会;
关键词
SCHEDULING PROBLEMS; ALGORITHMS; CONSTRAINTS;
D O I
10.1016/0305-0548(96)00018-4
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The vehicle routing problem with backhauls and time windows (VRPBTW) involves the pickup and delivery of goods at different customer locations, with earliest and latest time deadlines, and varying demands. The demands are serviced using capacitated vehicles with limited route time. Moreover, all deliveries (linehauls) must be done before the pickups (backhauls). The objective of the problem is to service all customers while minimizing the number of vehicles and distance traveled. In doing so, the capacity and route time constraints of the vehicles and the time window constraint at each customer should not be violated. In this paper, we describe a route construction heuristic for the VRPBTW, as well as different local search heuristics to improve the initial solutions. The heuristics were tested on 45 problems of size 25, 50 and 100, previously reported in the literature and whose optimum is known in most cases. In addition, the heuristic was tested on 24 newly created problems of size 250 and 500. The solutions produced by the heuristics are within 2.5% of the known optimal solutions on average. Copyright (C) 1996 Elsevier Science Ltd
引用
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页码:1043 / 1057
页数:15
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