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Particle Swarm Algorithm and Its Application in Tourism Route Design and Optimization

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成果类型:
期刊论文
作者:
Lu, Bing;Zhou, Chunlei
通讯作者:
Zhou, CL
作者机构:
[Lu, Bing] Zhengzhou Tourism Coll, Tourism Management, Zhengzhou 450000, Peoples R China.
[Zhou, Chunlei] Henan Polytech, Zhengzhou 450000, Peoples R China.
通讯机构:
[Zhou, CL ] H
Henan Polytech, Zhengzhou 450000, Peoples R China.
语种:
英文
期刊:
Computational Intelligence and Neuroscience
ISSN:
1687-5265
年:
2022
卷:
2022
机构署名:
本校为第一机构
摘要:
Most of the traditional tourism route planning algorithms only consider single-factor planning, that is, the influence of scenic spots on route planning. Particle swarm optimization algorithm is favored by many people because of its simple concept, easy implementation, and good robustness. Aiming at this problem, this paper takes the actual geographic data as the research object of the tourism route problem and describes the model of the discrete particle swarm algorithm based on geographic coordinates to solve the tourism route problem, which ...

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