Optimization of inspection for dual contraband using a genetic algorithm

    Research output: Contribution to journalArticlepeer-review

    3 Scopus citations

    Abstract

    Explosives, weapons of mass destruction and other contraband smuggled via cargo containers present a significant threat to national security. To combat this threat cargo containers are inspected for various types of contraband upon entering the country. This article presents a genetic algorithm-based technique for developing an optimum inspection strategy capable of detecting two different types of contraband. Experimentation on the behavior of the optimization algorithm is presented, demonstrating how this technique can be used to optimize an inspection strategy for detecting chemical explosives and radiological material, the components of either a nuclear or "dirty" bomb.

    Original languageEnglish
    Pages (from-to)508-525
    Number of pages18
    JournalProceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
    Volume226
    Issue number5
    DOIs
    StatePublished - Oct 2012

    Keywords

    • Container inspection
    • genetic algorithms
    • optimal inspection
    • optimization
    • reliability

    Fingerprint

    Dive into the research topics of 'Optimization of inspection for dual contraband using a genetic algorithm'. Together they form a unique fingerprint.

    Cite this