Abstract:Metaheuristic algorithms have become popular lately as an optimization method due to their similarity to natural adaptation events. In this context, such algorithms have the ability to cover several areas, in which for control systems such algorithms present a new way of developing and adapting control laws that are adapted and improved for different situations in which the dynamic system can be found. This work aims to utilize the metaheuristic algorithm particle swarm optimization in which three populations … Show more
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