HIGHLIGHTS
- who: Genetic Algorithm et al. from the Department of Electrical Engineering, Faculty of Applied Sciences, University Kasdi Merbah, Street Ghardaia have published the Article: Article citation info: A B D Y H A, in the Journal: (JOURNAL)
- what: This study shows that EVOA and C.H.GA-EVOA provide trustworthy results and that M.H.GA-EVOA surpasses them. In a first phase the GA explore the research space with the aim of discovering sub-spaces and providing a coarse solution, namely a solution located inside the basin of attraction of the global minimum. This . . .
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