A Novel Approach to Fuzzy Model Identification Based on Bat Algorithm

Theidentificationofafuzzymodelisacomplexandnonlinearproblem.Thiscanbeformulatedas asearchandoptimisationproblemandmanycomputingapproachesareavailableintheliteratureto solvethisproblem.Thisresearchpaperisfocusedonusinganewnatureinspiredapproachforfuzzy modelingbasedonBatAlgorithmwhichisderivedfromthebehaviourofmicro-batstosearchfor theirprey.Thebatalgorithmapproachhasbeenimplementedandvalidatedsuccessfullyonarapid batterychargerfuzzycontrollerproblem.Currently,thekeyrequirementisreal-timesolutionsto complexproblemsatablazingspeed.Batalgorithmevolvedtheoptimisedfuzzymodelwithinafew secondsascomparedtootherapproaches. KeywoRdS Bat Algorithm, Fuzzy Controller, Fuzzy Logic, Fuzzy Model Identification, Genetic Algorithms, Nature Inspired Approaches, Neural Networks, Soft Computing

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