A two-phase approach for the optimal location of surveillance cameras

Nowadays, to improve the safety of drivers and walkers in a city, several surveillance cameras are usually set on lanes. In Taiwan, the so-called "e-Patrol" system is usually used to support policemen for providing patrol services. Surveillance cameras are operative 24 hours per day. The films by the surveillance cameras would be useful to judge the responsibility of drivers and walkers for insurance companies and to improve the security of communities. Appropriate settings of surveillance cameras will reduce dead angles/space and resources. In this paper, under limited budgets we will develop a two-phase approach for the optimal location of surveillance cameras. The new two-phase approach combines both the immune based algorithm and the PSO algorithm. Numerical results show the performance of the new approach.