Analysis of new differential evolution variants to solve multi-modal problems

Differential evolution algorithm requires diversified population to solve multi- modalproblems. DE supports non-distributed population. (DE) versions include differential with best selection method and species (DESBS) hierarchical fair competition modal (HFCDE). This article analyzed the efficiency of HFCDE DESBS multi-modal s’ problems. support structured. starts set feasible solution then it distributed them in different hierarchy. provides competition. is another semi distributed, algorithm.It solutions (population). Later identifies niches create sub-groups within Both have outperformed other variant state-of-art variants DE. Here, performance are rigorously tested on multimodal The success over difficulties managed overcome phenomena elitism resolve complex problems, has been observed that performs better than scenarios.