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 Routes of a Robot Using Bioinspired Algorithms,ribe the comparison of the results obtained in the particle swarm optimization (PSO) and the ant colony optimization (ACO) of the resolution of the traveling salesman person (TSP), the adjustment (Xu, 2019 Chinese control and decision conference (CCDC), Nanchang, China, pp 3760–3763 [.]) is performe

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Swarm Intelligence: A Review of Optimization Algorithms Based on Animal Behavior,zed the most popular algorithms such as Firefly Algorithm (FA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Bee Colony Optimization (BCO) and the Bat algorithm (BA). These algorithms are mentioned in the paper because they inspired on animal behavior demonstrating be useful for

油毡

Optimization of Fuzzy Systems Through Metaheuristics in Control Systems,r semi-there are various types of membership functions. This depends on the problem to be treated. The most used are triangular, trapezoidal, Gaussian among others. For this particular case within this writing we will use the triangular and Gaussian ones. As it is already known through optimization

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Optimal Design of Interval Type-2 Fuzzy Tracking Controllers of Mobile Robots Using a Metaheuristicon of the membership functions parameters for the fuzzy controllers of autonomous mobile robots. SSO is a metaheuristic technique based on the behavior presented by sharks in nature, which can be used for solving optimization problems. First, SSO is used to optimize benchmark control problems. Secon

加花粗鄙人

A Comparative Study of the Grey Wolf Optimizer and Firefly Algorithm in Mathematical Benchmark Funcudy, we are presenting in this paper the Mathematical Benchmark Functions that were given in the IEEE Congress on Evolutionary Computation 2015 (CEC’ 15) competition, in order to compare these popular algorithms.

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Optimization of Routes of a Robot Using Bioinspired Algorithms,aveling salesman person (TSP), the adjustment (Xu, 2019 Chinese control and decision conference (CCDC), Nanchang, China, pp 3760–3763 [.]) is performed to improve the behavior of both methods. The particle swarm method and the ant colony methods have parameters, which need to dynamically adjust to improve the performance of both algorithms.

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