Adaptive Fuzzy Fitness Granulation (AFFG)
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Abstract
Adaptive Fuzzy Fitness Granulation (AFFG) is an optimization technique that enhances evolutionary algorithms (EAs) by incorporating fuzzy logic-based fitness granulation. The primary objective of AFFG is to improve search efficiency and convergence speed in evolutionary computation by dynamically adjusting fitness granulation levels based on the evolutionary state.
Type
Publication
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