Meta-heuristic optimization algorithms are used in many application areas to solve problems. In recent years, meta-heuristic have gained importance over deterministic search solving However, none of the techniques equally effective all Therefore, researchers focused on either improving current or developing new ones. Many alternative inspired by nature been developed complex It is important com...

Fuzzy controllers are represented by if-then rules and thus can provide a user friendly and understandable knowledge representation. Evolutionary algorithms have been widely used for optimal design of fuzzy controllers. In this paper, we first present the state-of-art adaptive fuzzy control design using evolutionary algorithms and then attempt to enhance the performance of the simple genetic se...

Abstract To develop new meta-heuristic algorithms and evaluate on the benchmark functions is most challenging task. In this paper, performance of various developed are evaluated recently CEC 2021 functions. The objective parametrized by inclusion operators, such as bias, shift rotation. different combinations binary operators applied to which leads CEC2021 Therefore, considered solve with dimen...