基于模拟退火的MTSP问题研究

Caifeng Liu, Yanxia Zhang
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引用次数: 4

摘要

多重旅行商问题(MTSP)是旅行商问题(TSP)的扩展。在现实中,许多问题都与MTSP相似,例如,最后一英里快递问题可以看作是以时间为最优目标的MTSP,车辆路径问题(VRP)可以看作是以距离为最优目标的MTSP,旅行路线规划问题可以看作是以时间或费用为目标的MTSP。因此,本文主要研究一类以时间为唯一最优目标的MTSP问题,并采用模拟退火算法(SA)进行求解。并分析了不同参数下SA的性能。该算法在MATLAB环境下实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on MTSP Problem based on Simulated Annealing
Multiple Traveling Salesman Problem (MTSP) is the extension of Traveling Salesman Problem (TSP). In reality, lots of problems are similar with MTSP, for example, Last-mile Express Deliver Problem can be viewed as a MTSP which takes time as optimal objective, Vehicle Routing Problem (VRP) can be viewed as MTSP which takes distance as optimal objective, travel routes planning problem can be viewed as a MTSP which takes time or expense as the objective. So in this paper, we focus on a kind of MTSP that takes time as only optimal objective to build the model, and we solve it by using Simulated Annealing Algorithm (SA). Also we analyse the performance of SA in different parameters. The algorithm is realized under MATLAB environment.
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