id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ijassa-1006	Boukhari, Noureddine; Nemmich, Mohamed Amine; Debbat, Fatima; Monmarché, Nicolas; Slimane, Mohamed	A Novel Two-Stage Hybrid Multi-Objective Differential Evolution with Opposition Based-Learning	2023	23	.pdf	application/pdf	12191	696	53	A Multi-Objective Evolutionary Algorithm (MOEA) is a modified version of the traditional Genetic Algorithm (GA) - also known as the simple GA, designed to solve multi-objective optimization problems (MOPs). Differential evolution as one of the most evolutionary algorithms, has been widely applied to solve multi-objective optimization problems due to its simple implementation and fast convergence.	cache/ijassa-1006.pdf	txt/ijassa-1006.txt