In this paper, we propose the use of a set of generic, metaheuristic optimization algorithms, which is configured for a particular optimization problem by an adaptive problem solver based on artificial intelligence and machine learning techniques. We describe work in progress on these principles.


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    Title :

    Towards a Self-Configuring Optimization System for Spacecraft Design


    Contributors:

    Publication date :

    1997-07-14


    Type of media :

    Preprint


    Type of material :

    No indication


    Language :

    English




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