Site selection of the rural tourism logistics network based on the evolution game under the heuristic algorithm

Jiang Zhou, Lan Feng, Zhiyong Bu
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Abstract

In order to actively respond to the spirit of the 20th National People's Congress of the Communist Party of China and revitalize rural development, China has set off a upsurge of rural tourism, which is conducive to alleviating the large difference between urban and rural development, and also plays a positive role in the development of traditional villages. However, rural logistics is closely related to rural tourism, which can not only improve the convenience of rural tourism, but also further promote the development of rural tourism. However, at present, the development of rural logistics under the background of rural tourism still has problems to be solved. Taking some traditional villages such as Yongxing County, Chenzhou City, Hunan Province as an example, the construction of its logistics service network is not perfect. Based on this paper according to the Chenzhou yongxing county, the location of the passenger population distribution, using unconstrained optimization, heuristic algorithm, established the mathematical model of logistics service network site selection, using Matlab software to solve the preliminary site conclusion, then use the evolution game to the conclusion, so as to achieve the purpose of more accurate. The significance of this paper is to choose the construction of appropriate tourism logistics outlets to promote the development of rural tourism and maximize the economic benefits, but also to let more tourists and villagers to get faster services.
启发式算法下基于进化博弈的乡村旅游物流网络选址
为了积极响应党的二十届全国人大精神,振兴乡村发展,中国掀起了乡村旅游的热潮,有利于缓解城乡发展差距较大的问题,也对传统村落的发展起到了积极的作用。而乡村物流与乡村旅游密切相关,不仅可以提高乡村旅游的便利性,还可以进一步促进乡村旅游的发展。然而,目前乡村旅游背景下的乡村物流发展还存在一些问题需要解决。以湖南省郴州市永兴县等传统村落为例,其物流服务网络建设并不完善。本文根据郴州永兴县客流人口分布的地理位置,采用无约束优化、启发式算法,建立了物流服务网络选址的数学模型,利用Matlab软件求解初步选址结论,再利用进化博弈对结论进行求解,从而达到更准确的目的。本文的意义在于选择建设合适的旅游物流网点,促进乡村旅游的发展,实现经济效益的最大化,同时也让更多的游客和村民得到更快的服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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