This research is focused on using a highly detailed simulation model to create a physical security system to prevent intrusions in a building. Security consists of guards and security cameras. The problem is represented as a binary optimization problem. A new heuristic is proposed to do the security configuration optimization, the Hybrid Genetic Ant Optimization (HGAO). This heuristic combines a genetic algorithm (GA) and an ant colony optimization (ACO). HGAO is compared with GA for two security optimization scenarios.
|Title of host publication||Handbook of military industrial engineering|
|Editors||A.B. Badiru, M.U. Thomas|
|Place of Publication||Boca Raton|
|Publication status||Published - 2009|
|Name||Industrial Innovation Series|