Optimizing a physical security configuration using a highly detailed simulation model

T.M.A. Marechal, A.E. Smith, V. Ustun, J.S. Smith, A.A.J. Lefeber

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

    2 Citations (Scopus)

    Abstract

    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.
    Original languageEnglish
    Title of host publicationHandbook of military industrial engineering
    EditorsA.B. Badiru, M.U. Thomas
    Place of PublicationBoca Raton
    PublisherCRC Press
    Pages2-1/17
    ISBN (Print)978-1-42-006628-9
    Publication statusPublished - 2009

    Publication series

    NameIndustrial Innovation Series

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