论文标题
使用TOPSIS，差分进化和禁忌搜索解决整数多目标优化问题
Solving integer multi-objective optimization problems using TOPSIS, Differential Evolution and Tabu Search
论文作者
论文摘要
本文提出了一种解决非线性整数多目标优化问题的方法。首先，该问题是使用与理想解决方案（TOPSIS）相似的秩序偏好技术提出的。接下来，将差分进化（DE）算法（标准DE，de Best和deGL）用作优化器。由于DE算法找到的解决方案是连续的，因此在优化过程中，使用Tabu搜索（TS）算法来查找整数解决方案。实验结果表明该方法的有效性。
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.
