旅游行程设计问题的模因算法

Apisit Cheng, A. Dumrongsiri
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引用次数: 0

摘要

在对目的地有任何体验之前,设计一个提供最大满意度的旅游计划可能是一个艰难而耗时的过程。本研究的目标是建立一种算法,在合理的处理时间内有效地生成高满意度或最大满意度的旅游计划。将遗传算法与局部搜索算法相结合,提出模因算法来解决这一问题。本研究使用了从泰国值得信赖的旅游社区(如TripAdvisor.com、Wongnai.com等)收集的真实数据。研究结果表明,模因算法(Memetic Algorithm, MA)既节省了计算时间,又具有良好的平衡性,可以有效地解决旅游线路设计问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Memetic Algorithm for Tour Trip Design Problem
to design a tour plan which provide a maximum satisfaction, before have any experiences with the destination can be hard and time consuming process. The goal of this study is to create an algorithm that efficiently generate a tour plan with high or maximum satisfaction within a reasonable processing time. The memetic algorithm which is a combination of genetics algorithm and local search algorithm would be created to solve this problem. This study used real data gathered from trusted tourist community in Thailand such as TripAdvisor.com, Wongnai.com, etc. The result of this study shown Memetic Algorithm (MA) approach could solve tour trip design problem efficiently since both saving in computation time and % gap are in a good shape and well-balanced.
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