A Novel Artificial Jellyfish Search Algorithm Improved with a Differential Evolution Algorithm-Based Global Search Strategy

Metaheuristic algorithms are inspired by natural phenomena and that used to decide which possible solution is more efficient solve a problem. Although these algorithms, whose numbers increasing day day, do not guarantee the exact solution, they promise reach around quickly. Artificial Jellyfish Search Algorithm (YDA) also new metaheuristic algorithm proposed in 2021. In this study, modification has been made global search part of standard order improve capability YDA. Accordingly, "current-to-best" approach, one successful mutation strategies Differential Evolution Algorithm, integrated into method The advanced (MYDA) obtained as result tested for 10,30,50,100,500 1000 dimensions on total twelve benchmark functions, seven uni-modal five multi-modal. addition, MYDA compared with selected from literature. results have interpreted help statistical tests. When examined, it determined outperforms all functions. comparison literature, produces competitive results.