Enhancing the GA's ability to cope with dynamic environments
作者： Franz Oppacher , Mark Wineberg
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摘要: The Shifting Balance Genetic Algorithm (SBGA) is a pluggable module for GA (or any other Evolutionary Algorithm) based on modification of Sewall Wright's shifting balance theory. SBGA intended to enhance GA's ability adapt changing environment. Here we describe the detailed mechanisms required implement as well an experiment that shows not only outperforms in difficult dynamic environment, but actually seems thrive such
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