基于计算智能的警车分配与巡逻策略

2010 International Conference on Computational Intelligence and Software Engineering Pub Date : 2010-12-30 DOI:10.1109/CISE.2010.5677090

Yunlu Gong, Liping Tang, Jiajian Zhang, Ligang Zhou

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引用次数: 1

摘要

警察巡逻是社会治安管理的一种有效手段。如何获得警察巡逻的最佳策略是许多研究的焦点。我们从第六届全国研究生数学建模竞赛中获得了这个研究课题。该方法将贪心策略和随机化策略与遗传算法相结合来解决这些问题，仿真结果表明，该方法对警车的分配和巡逻策略具有较好的隐蔽性。

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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Assignment and Patrol Strategy for Police Cars Based on Computational Intelligence

Police Patrol is a very useful method for managing the social security. Many researches focus on how to obtain the best strategy for police patrol. We got this research topic from The Sixth National Post-Graduate Mathematical Contest in Modeling. In the proposed approach, Greedy Policy and Randomized Strategy are combined with Genetic Algorithm to solve these problems, simulation result shows the assignment and patrol strategy for police cars have a good effect with great concealment.

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2010 International Conference on Computational Intelligence and Software Engineering

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