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A minimax resource allocation problem with variable resources

机译:具有可变资源的极小极大资源分配问题

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The problem of optimally allocating the resources to competing activities where the amounts of the resources are not only previosly given but are also to be determined subject to certain linear constraints is considered. The objective is to find such activity levels such that their weighted deviation from a prespecified target is as small as possible. A primal decomposition approach for the problem and derive an explicit formula for the piecewise affine-linear convex objective function of the upper level problem are suggested. The lower level problem is a parametric optimization problem with a bottleneck objective function. If the constraints on the amounts of the resources are all of knapsack type or if there is only one such constraint, then the upper level problem is equivalent to the lower level problem with fixed right-hand sides. In the general case, the problem can efficiently be solved by means of the level method.
机译:考虑到最佳地将资源分配给竞争活动的问题,在竞争活动中,不仅预先给出资源的数量,而且还要受某些线性约束的约束来确定资源的数量。目的是找到这样的活动水平,以使它们与预定目标的加权偏差尽可能小。提出了针对该问题的原始分解方法,并推导了上层问题的分段仿射线性凸目标函数的显式公式。下层问题是具有瓶颈目标函数的参数优化问题。如果对资源量的约束全部是背包类型,或者只有一个这样的约束,则上层问题等同于右侧固定的下层问题。在一般情况下,可以通过级别方法有效地解决问题。

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