In this paper, a survey about the algorithms based on swarm intelligence with parameter
adaptation using some techniques to achieve the best results is presented. In this case, we …

This article is oriented to the application of generalized type-2 fuzzy systems in the dynamic
adjustment of the parameters of a recent metaheuristic based on nature that follows the rules …

In this paper, we are presenting a survey of research works dealing with Type-2 fuzzy logic
controllers designed using optimization algorithms inspired on natural phenomena. Also, in …

The use of metaheuristics is currently on the rise for solving real problems due to their
complexity and uncertainty management. Most of the current existing metaheuristic …

Industrial systems usually draw huge energy to run various machines. The amount of energy
requirement has again increased due to the automation of the industrial plants to make them …

Abstract In Deep Neural Networks (DNNs), several architectures had been proposed for the
various complex tasks such as Machine Translation, Natural Language processing and time …

This paper proposes the use of the Differential Evolution algorithm with fuzzy logic for
parameter adaptation in the optimal design of fuzzy controllers for nonlinear plants. The …

Purpose Fuzzy-based metaheuristic algorithm is used to optimize the fuzzy controllers for
the nonlinear level control system subject to uncertainty specially in the main actuator that …

In recent, various metaheuristic algorithms have shown significant results in control
engineering problems; moreover, fuzzy sets (FSs) and theories were frequently used for …

Most metaheuristic algorithms, including harmony search (HS), suffer from parameter
selection. Many variants have been developed to cope with this problem and improve …