Optimizing a physical security configuration using a highly detailed simulation model

This chapter focuses on using a highly detailed simulation model to create a physical security system to detect intrusions by human agents in a building thereby minimizing the expected loss of such intrusions. Security consists of human guards and fixed security cameras. The problem is represented as a binary optimization problem and a new heuristic is proposed to perform the security configuration optimization, the Hybrid Genetic Ant Optimization (HGAO). This heuristic combines a genetic algorithm and an ant colony optimization. HGAO is compared with a genetic algorithm for two security optimization scenarios.