Adaptive evolutionary algorithms utilize a powerful framework for optimizing complex systems in dynamic environments. By incorporating mechanisms that adjust the algorithm's parameters based on the evolving problem landscape, these techniques reveal enhanced efficiency. Through iterative processes of ranking, individuals with optimal traits survive