Fast Hybrid PSO and Tabu Search Approach for Optimization of a Fuzzy Controller
In this paper, a fuzzy controller type Takagi_Sugeno zero order is optimized by the method of hybrid Particle Swarm Optimization (PSO) and Tabu Search (TS). The algorithm automatically adjusts the membership functions of fuzzy controller inputs and the conclusions of fuzzy rules. At each iteration of PSO, we calculate the best solution and we seek the best neighbor by Tabu search, this operation minimizes the number of iterations and computation time while maintaining accuracy and minimum response time. We apply this algorithm to optimize a fuzzy controller for a simple inverted pendulum with three rules.
Keywords: Particle Swarm Optimization, Tabu Search, Fuzzy Controller, inverted pendulum.
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ABOUT THE AUTHOR
Nesrine Talbi
Department of Electronic, Faculty of sciences and technology, University of Jijel, Algeria
Nesrine Talbi
Department of Electronic, Faculty of sciences and technology, University of Jijel, Algeria
