This paper introduces a comprehensive analysis of the use of Evolutionary Strategy in optimizing electrical machines. Utilizing Evolutionary algorithms, the paper addresses continuous design problems and offers a multi-objective optimization approach that can incorporate constraints. By comparing Gradient Method optimization techniques, the paper highlights the advantages of adopting the Evolutionary Strategy method. The study examines the parameters and techniques associated with the Evolutionary Strategy, demonstrating its superior performance compared to other optimization methods. To illustrate its effectiveness, the paper presents the optimization of an electrical machine using this approach. The results obtained clearly demonstrate that the Evolutionary Strategy method provides an efficient solution for achieving optimal electrical machine performance. Additionally, the paper emphasizes the potential contribution of applying this method in reducing power consumption, sound emissions, and operational costs, thus improving the overall efficiency and sustainability of electrical machines.