In this paper, a novel genetic algorithm, including domain specific knowledge into the crossover operator and the local search mechanism for solving weapon-target assignment (WTA) problems is proposed. The WTA problem is a full assignment of weapons to hostile targets with the objective of minimizing the expected damage value to own-force assets. It is an NP-complete problem. In our study, a greedy reformation and a new crossover operator are proposed to improve the search efficiency. The proposed algorithm outperforms its competitors on all test problems.


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    Titel :

    A genetic algorithm with domain knowledge for weapon-target assignment problems


    Beteiligte:
    Lee, Zne-Jung (Autor:in) / Su, Shun-Feng (Autor:in) / Lee, Chou-Yuan (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2002


    Format / Umfang :

    9 Seiten, 32 Quellen



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch




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