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Titlebook: Recent Advances of Hybrid Intelligent Systems Based on Soft Computing; Patricia Melin,Oscar Castillo,Janusz Kacprzyk Book 2021 The Editor(

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Optimization of Fuzzy Controllers for Autonomous Mobile Robots Using the Stochastic Fractal Search kind of fragmented structure, which grows at every scale with self-similarity. After testing with different dimensions in the Unimodal functions and Multimodal functions, we proceed with the optimization of the fuzzy controller. Simulation results show the advantages of SFS in fuzzy control optimization.
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Optimization of Fuzzy Systems Through Metaheuristics in Control Systems,n this work Differential Evolution Algorithm (DEA) to optimize a fuzzy system, for the application of this in control as a inverted pendulum system. Similarly, the proposed methodology for optimizing the system is analyzed and explained.
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Optimal Design of Fuzzy Logic Systems Through a Chicken Search Optimization Algorithm Applied to a nted. An efficiently CSO algorithm for the optimization in Fuzzy Logic Controllers (FLC) is presented. When level of noise is added in the model the CSO shows an excellent development. CSO algorithm shows better results when is compared with others metaheuristic in the simulation results for this benchmark control problem.
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Optimization of Fuzzy Trajectory Tracking in Autonomous Mobile Robots Based on Bio-inspired Algorit the optimization in Fuzzy Logic Controllers (FLC) is presented. The main aim is to use the two bio-inspired algorithms individually to improve of trajectories of an Autonomous Mobile Robot. CSO algorithm shows better results when compared to BCO in the simulation results for this control problem.
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