Title :
Assignment and Patrol Strategy for Police Cars Based on Computational Intelligence
Author :
Gong, Yunlu ; Tang, Liping ; Zhang, Jiajian ; Zhou, Ligang
Author_Institution :
Informatization Office, Shanghai Univ., Shanghai, China
Abstract :
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.
Keywords :
artificial intelligence; genetic algorithms; greedy algorithms; national security; police; assignment strategy; computational intelligence; genetic algorithm; greedy policy; patrol strategy; police car; police patrol; randomized strategy; social security; Biological system modeling; Cities and towns; Computational modeling; Mathematical model; Search problems; Security; Simulation;
Conference_Titel :
Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5391-7
Electronic_ISBN :
978-1-4244-5392-4
DOI :
10.1109/CISE.2010.5677090
