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Abstract The following points were conducted at the present study : 1-Artificial intelligence. 2-Multi-objectives optimization techniques. 3-Evolutionary algorithms for solving multi-objectives optimization problems. 4-The proposed genetic for solving multi-objectives optimization problems. 5-A comparative study between GAs and PSO for solving MOOP. 6-Future points for research. |