Daan van Beek - A Functional Framework for Solving Multi-objective Optimization Problems using Genetic Algorithms
نویسنده
چکیده
By studying single-objective genetic algorithms and multiobjective genetic algorithms this paper determines the functions needed to update existing single-objective genetic algorithms programmed in functional languages in order to make them applicable to multi-objective problems. By performing a literature study knowledge about genetic algorithms and their special multi-objective versions was collected and existing single-objective genetic algorithm frameworks where examined for missing functionality. Using this knowledge a way was derived to update single-objective genetic algorithm frameworks. With the results of this paper one is able to update a single-objective framework in order to make it applicable to multi-objective problems.
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