References

Baker, B.M. and M.A. Ayechew, 2003. A genetic algorithm for the vehicle routing problem. Comput. Oper. Res., 30: 787-800.
CrossRef  |  

Bullnheimer, B., R.F. Hartl and C. Strauss, 1999. An improved ant system algorithm for the vehicle routing problem. Ann. Oper. Res., 89: 319-328.
CrossRef  |  

Chawathe, S.S., 2007. Organizing hot-spot police patrol routes. Proceedings of the IEEE Intelligence and Security Informatics Conference, May 23-24, 2007, New Brunswick, NJ., pp: 79-86.

Chen, X. and T.S.P. Yum, 2010. Patrol districting and routing with security level functions. Proceedings of the IEEE International Conference on Systems Man and Cybernetics, October 10-13, 2010, Istanbul, Turkey, pp: 3555-3562.

Curtin, K.M., K. Hayslett-McCall and F. Qiu, 2010. Determining optimal police patrol areas with maximal covering and backup covering location models. Networks Spatial Econ., 10: 125-145.
CrossRef  |  Direct Link  |  

Dorigo, M. and T. Stutzle, 2003. The Ant Colony Optimization Metaheuristic: Algorithms, Applications and Advances. In: Handbook of Metaheuristics, Glover, F. and G.A. Kochenberger (Eds.). Springer, USA., SBN: 978-1-4020-7263-5, pp: 250-285.

Ebtehaj, A., 2009. Police Patrolling. The University of Police Publication, Tehran, Iran.

Eshragh, S., 2005. Designing city-bus lines using ant algoritm. Islamic Azad University, Tehran, Iran.

Gambardella, L.M., E.D. Taillard and G. Agazzi, 1999. MACS-VRPTW: A Multiple Ant Colony System for Vehicle Routing Problems with Time Windows. In: New Ideas in Optimization, Corne, D., M. Dorigo and F. Glover (Eds.). McGraw-Hill, London, pp: 63-76.

Golduzian, I., 2008. The Essential of Public Justice. Mizan Publication, Tehran, Iran.

Javadian, R., M.H. Ahmadi and Y. Mohammdi-Moghadam, 2010. Effective factors on success of police patrols in prevention from car theft (Case study: West of Tehran metropolitan). J. Entezami-e-Ejtemaei, 1: 127-141.

Konak, A., D.W. Coit and A.E. Smith, 2006. Multi-objective optimization using genetic algorithms: A tutorial. Reliab. Eng. Syst. Saf., 91: 992-1007.
CrossRef  |  

Kytojokia, J., T. Nuortiob, O. Braysya and M. Gendreauc, 2007. An efficient variable neighborhood search heuristic for very large scale vehicle routing problems. Comput. Operat. Res., 34: 2743-2757.
CrossRef  |  Direct Link  |  

Lauri, F. and A. Koukam, 2008. A two-step evolutionary and ACO approach for solving the multi-agent patrolling problem. Proceedings of the IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence), June 1-6, 2008, Hong Kong, pp: 861-868.

Li, L., Z. Jiang, N. Duan, W. Dong, K. Hu and W. Sun, 2011. Police patrol service optimization based on the spatial pattern of hotspots. Proceedings of the IEEE International Conference on Service Operations, Logistics and Informatics, July 10-12, 2011, Beijing, pp: 45-50.

Rabie, A., B. Badly and A. Chalakirad, 2009. A survey on the reasons of failure of utilizing GPS in police patrols: Case study of the holy city of Mashhad. J. Police Manage. Stud. Q., 3: 373-384.
Direct Link  |  

Ratcliffe, J.H., T. Taniguchi, E.R. Groff and J.D. Wood, 2011. The Philadelphia foot patrol experiment: A randomized controlled trial of police patrol effectiveness in violent crime hotspots. Criminology, 49: 795-831.
CrossRef  |  Direct Link  |  

Reis, D., A. Melo, A.L.V. Coelho and V. Furtado, 2006. GAPatrol: An Evolutionary Multiagent Approach for the Automatic Definition of Hotspots and Patrol Routes. In: Advances in Artificial Intelligence, Sichman, J.S., H. Coelho and S.O. Rezende (Eds.). Springer, Berlin-Heidelberg, ISBN: 978-3-540-45462-5, pp: 118-127.

Ruan, S., C. Meirina, F. Yu, K. Pattipatia and R.L. Popp, 2005. Patrolling in a stochastic environment. http://www.dtic.mil/dtic/tr/fulltext/u2/a464265.pdf.

Steil, D.A., J.R. Pate, N.A. Kraft, R.K. Smith, B. Dixon, L. Ding and A. Parrish, 2011. Patrol routing expression, execution, evaluation and engagement. IEEE Trans. Intell. Transp. Syst., 12: 58-72.
CrossRef  |  Direct Link  |