This work proposes a system to allocate surveillance resources in areas of high piracy risk when the satellite AIS coverage is low, resulting in an improved maritime traffic situational awareness. The system is based on multiobjective optimization algorithms providing solutions that are on the so-called Pareto optimal front. The solutions are a trade-off among different objectives, including surveillance risk, area coverage, and mission costs. In general, the inclusion of an objective in the multiobjective vector function is application dependent.


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    Title :

    Optimal asset network planning for counter piracy operation support, part 1: Under the hood


    Contributors:


    Publication date :

    2014-05-01


    Size :

    1627695 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English