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A mathematical model for locating k-obnoxious facilities on a plane

机译:用于在飞机上定位K-Obnoxious设施的数学模型

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>This paper proposes a new mathematical model for locating k-obnoxious facilities Here a vertex covering k-obnoxious facilities location problem on a plane has been modelled by combining it as a combination of three interacting criteria as follows: 1) maximise the minimum distances between any existing point and any variable point as well as between any pair of variable points; 2) maximise the number of existing points covered by various respective variable points; 3) minimise the overall importance of the various existing points associated to the various variable facility points. A nonlinear programming iterative algorithm for locating k-obnoxious facilities has been developed. The algorithm developed here is a generalised iterative algorithm. It has been proved that the optimal solution obtained by the algorithm is the non-dominated solution of the original multi-objective problem. Rectilinear distance norm has been considered as the distance measure as it is more appropriate to the various realistic situations.
机译:本文提出了一种用于定位K-Obnoxious设施的新数学模型,这里通过将其作为三个交互标准的组合来建模平面上的顶点覆盖了k-Obnoxious设施问题的顶点,如下:1)最大化最小值任何现有点和任何可变点之间的距离以及任何一对可变点之间; 2)最大化各个各个变量覆盖的现有点数; 3)最小化与各种可变设施点相关的各种现有点的总体重要性。开发了一种用于定位K-Obnoxious设施的非线性编程迭代算法。这里开发的算法是广义迭代算法。已经证明,通过该算法获得的最佳解决方案是原始多目标问题的非主导解决方案。直线距离规范被认为是距离测量,因为它更适合各种现实情况。

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