  This paper presents a method to solve non-linear integer multiobjective
optimization problems. First the problem is formulated using the Technique for
Order Preference by Similarity to Ideal Solution (TOPSIS). Next, the
Differential Evolution (DE) algorithm in its three versions (standard DE, DE
best and DEGL) are used as optimizer. Since the solutions found by the DE
algorithms are continuous, the Tabu Search (TS) algorithm is employed to find
integer solutions during the optimization process. Experimental results show
the effectiveness of the proposed method.
