A Hybrid SS-SA Approach for Solving Multi-Objective Optimization Problems
نویسنده
چکیده
Decision makers, nowadays, face complex real world problems having more than one conflicting objective functions to be optimized at the same time. In this paper, we developed a hybrid approach based on scatter search and simulated annealing for solving the multi-objective optimization problems. To validate our approach, we solved some test problems from the literature, compared the results with other approaches, and found that our proposed approach performs well.
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