Evolving Efficient Security Systems Under Budget Constraints Using Genetic Algorithms
Michael L. Gargano, William Edelson, Paul Benjamin, Paul Meisinger, Maheswara Prasad Kasinadhuni, Joseph DeCicco · 2003
The EASI model (estimate of adversary sequence interruption model) is a dynamic, analytic method widely used by security professionals to evaluate a physical protection security system (ppss). Our methods involve using genetic algorithms to evolve such systems when budget constraints or detector sequencing must be considered.