Research on Optimization Problem of Routing about Parking Guidance Based on Improved Ant Colony Algorithm

Juan Li, Zi Li, Tao Sun, Meijuan Jia, Haitao Yu
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Abstract

According to the layout characteristics of parking in the parking lot, the problem of converting the path choice of parking is raised to seek the optimal path and generate the optimal parking guiding line. This paper proposed the concept of node busy factor, and a mathematical model of the optimal path with constraints. The state transition rules of basic ant colony algorithm is improved as well as updating rules of pheromone. After that, the taboo strategy is introduced for further optimization. At last, the experimental results and Matlab simulation verify the effectiveness of the Algorithm.
基于改进蚁群算法的停车引导路径优化问题研究
根据停车场内停车的布局特点,提出了转换停车路径选择的问题,寻求最优停车路径,生成最优停车引导线。提出了节点繁忙因子的概念,并建立了带约束的最优路径数学模型。改进了基本蚁群算法的状态转移规则和信息素的更新规则。然后,引入禁忌策略进行进一步优化。最后,实验结果和Matlab仿真验证了该算法的有效性。
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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