Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
A learning process for fuzzy control rules using genetic algorithms
Fuzzy Sets and Systems
Swarm intelligence
Zero-order TSK-type fuzzy system learning using a two-phase swarm intelligence algorithm
Fuzzy Sets and Systems
Stable rule extraction and decision making in rough non-deterministic information analysis
International Journal of Hybrid Intelligent Systems - Rough and Fuzzy Methods for Data Mining
Evolving multilayer feedforward neural network using adaptive particle swarm algorithm
International Journal of Hybrid Intelligent Systems
International Journal of Hybrid Intelligent Systems
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In this paper, Hybrid Particle Swarm Optimization and Tabu Search HPSOTS is proposed to automatically generate Fuzzy Controller for MIMO systems. The algorithm is used to simultaneously optimize the premise and consequent parameters of the fuzzy rules for the appropriate design of fuzzy controller for Takagi-Sugeno zero-order. Solution found after each step of PSO algorithm was introduced in Tabu search algorithm as initial solution to seek its best neighboring solution. This hybridization of global and local optimization algorithms minimizes the number of iterations and computation time while maintaining accuracy and minimum response time. The algorithm was tested to control two nonlinear dynamical MIMO systems. Results proved the effectiveness of the proposed algorithm.