Ant colony optimization for membership function design for a water tank fuzzy logic controller

作者: Evelia Lizarraga Olivas , Oscar Castillo , Fevrier Valdez , Jose Soria

DOI: 10.1109/HIMA.2013.6615019

关键词: Fuzzy logic controllerEngineeringMathematical optimizationMetaheuristicAnt colony optimization algorithmsFuzzy logicArtificial intelligenceMembership functionFuzzy setFuzzy control systemBenchmark (computing)

摘要: In this paper we describe the optimization of a fuzzy logic controllers using Ant Colony Optimization (ACO); in particular, controller for water tank benchmark problem. The has been done specifically type membership function and parameters.

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