Analysis of Algorithms' Performance in the Domain of Evolutionary Computation (EC) in Real-Life Applications

This research delves into the dynamic realm of evolutionary algorithms and examines their real-world applications. We methodically provide a variety of evolutionary techniques in the form of pseudo-code, including differential evolution, evolutionary algorithms, evolutionary programming, and evolutionary strategies. This makes it simple to include into a variety of programming languages. With rigorous study, the distinctive qualities of each algorithm were uncovered. We have compared and contrasted the GA, GP, DE, ES, and EP in this study.