F. Karimi
Department of Computer Science, University of Tabriz, Tabriz, Iran.
[ 1 ] - A Hybrid MOEA/D-TS for Solving Multi-Objective Problems
In many real-world applications, various optimization problems with conflicting objectives are very common. In this paper we employ Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D), a newly developed method, beside Tabu Search (TS) accompaniment to achieve a new manner for solving multi-objective optimization problems (MOPs) with two or three conflicting objectives. This i...
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