旅行商问题的有效路线规划

Manoranjitham Muniandy, Liong Kah Mee, Lim Kok Ooi
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引用次数: 6

摘要

旅行商问题(traveling Salesman Problem, TSP)是计算机科学领域研究路线优化问题的一个著名例子。多年来,研究人员已经开发了各种算法来解决TSP问题,但在产生最佳解时总是存在疑问。路线规划一直是研究的主要兴趣,由于该主题涉及许多行业的性质。运输路径、航线、旅客、交付服务等都适用于TSP,这意味着需要预先规划路线时间表,以确保执行优化的旅行。本文利用遗传算法进行了小规模的路线规划优化研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient route planning for travelling salesman problem
Travelling Salesman Problem (TSP) is a famous example in the study of route optimization in the field of computer science. Various algorithms have been developed by previous researches throughout the years attempting to solve the TSP yet there is always a doubt in producing the best solution. Route planning has always been a major interest of study due to the nature of the topic which covers many industries. Transportation pathways, flight routes, travellers, delivery services and many more applies TSP which means there is a need for a preplanned route schedule to ensure an optimized travelling has been performed. In this article, a small scale research was conducted to produce an optimized route planning using genetic algorithm.
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