Research on multi-path optimization problem based on particle swarm optimization algorithm

Jianxu Zhou
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引用次数: 0

Abstract

The problem of finding the optimal path within a certain range exists in various scenarios in our lives, such as the traveling salesman problem, robot automatic path selection problem, vehicle and pedestrian navigation, game path navigation, communication routing, logistics and transportation planning problems, etc. , through the optimization of path problems, we can help people improve resource utilization, improve work efficiency, reduce production costs, or complete the goal of a specific scenario, etc. Therefore, solving the path optimization problem is a very important task in our reality. In order to improve the game experience of the players in the game, this paper studies how to use the particle swarm optimization method to solve the optimal route of NPC.
基于粒子群优化算法的多路径优化问题研究
在我们生活的各种场景中,都存在着在一定范围内寻找最优路径的问题,如旅行推销员问题、机器人自动路径选择问题、车辆和行人导航问题、游戏路径导航问题、通信路由问题、物流运输规划问题等。通过路径问题的优化,我们可以帮助人们提高资源利用率、提高工作效率、降低生产成本或完成特定场景的目标等。因此,解决路径优化问题是我们现实生活中一项非常重要的任务。为了提高玩家在游戏中的游戏体验,本文研究了如何利用粒子群优化方法求解 NPC 的最优路径。
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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