Genetic algorithms are highly parallel, adaptive search procedures (i.e., problem-solving methods) loosely based on the processes of population genetics and Darwinian survival of the fittest. Genetic algorithms have proven useful in domains where other optimization techniques perform poorly. The main purpose of the paper is to discuss a NASA-sponsored software development project to develop a general-purpose tool for using genetic algorithms. The tool, called Splicer, can be used to solve a wide variety of optimization problems and is currently available from NASA and COSMIC. This discussion is preceded by an introduction to basic genetic algorithm concepts and a discussion of genetic algorithm applications.


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    Titel :

    Problem solving with genetic algorithms and Splicer


    Beteiligte:
    Bayer, Steven E. (Autor:in) / Wang, Lui (Autor:in)

    Kongress:

    AIAA Computing in Aerospace Conference ; 1991 ; Baltimore, MD, United States


    Erscheinungsdatum :

    1991-01-01


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch


    Schlagwörter :


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