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An inner approximation method incorporating a branch and bound procedure for optimization over the weakly efficient set

机译:结合分支定界过程的内部近似方法,用于弱有效集的优化

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摘要

In this paper, we consider an optimization problem which aims to minimize a convex function over the weakly efficient set of a multiobjective programming problem. From a computational viewpoint, we may compromise our aim by getting an approximate solution of such a problem. To find an approximate solution, we propose an inner approximation method for such a problem. Furthermore, in order to enhance the efficiency of the solution method, we propose an inner approximation algorithm incorporating a branch and bound procedure.
机译:在本文中,我们考虑了一个优化问题,旨在使多目标规划问题的弱有效集上的凸函数最小化。从计算角度来看,我们可能会通过获得此类问题的近似解决方案而损害我们的目标。为了找到一个近似解,我们针对这种问题提出了一种内部近似方法。此外,为了提高求解方法的效率,我们提出了一种包含分支定界过程的内部近似算法。

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