Integrating the Opposition Nelder–Mead Algorithm into the Selection Phase of the Genetic Algorithm for Enhanced Optimization

In this paper, we propose a novel methodology that combines the opposition Nelder–Mead algorithm and selection phase of genetic algorithm. This integration aims to enhance performance overall To evaluate effectiveness our methodology, conducted comprehensive comparative study involving 11 state-of-the-art algorithms renowned for their exceptional in 2022 IEEE Congress on Evolutionary Computation (CEC 2022). Following rigorous analysis, which included Friedman test subsequent Dunn’s post hoc test, demonstrated outstanding performance. fact, exhibited equal or superior compared other majority cases examined. These results highlight competitiveness proposed approach, showcasing its potential achieve solving optimization problems.