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首页> 外文期刊>European Journal of Operational Research >A method for finding well-dispersed subsets of non-dominated vectors for multiple objective mixed integer linear programs
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A method for finding well-dispersed subsets of non-dominated vectors for multiple objective mixed integer linear programs

机译:一种用于多目标混合整数线性程序的非支配矢量的分散良好子集的方法

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摘要

We present an algorithm for generating a subset of non-dominated vectors of multiple objective mixed integer linear programming. Starting from an initial non-dominated vector, the procedure finds at each iteration a new one that maximizes the infinity-norm distance from the set dominated by the previously found solutions. When all variables are integer, it can generate the whole set of non-dominated vectors. (c) 2006 Elsevier B.V. All rights reserved.
机译:我们提出了一种算法,用于生成多目标混合整数线性规划的非支配向量的子集。从初始的非主导向量开始,该过程在每次迭代中都找到一个新的向量,该向量将最大化与先前找到的解所主导的集合的无穷范数距离。当所有变量都是整数时,它可以生成整个非支配向量集。 (c)2006 Elsevier B.V.保留所有权利。

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