A NEW MULTI OBJECTIVE APPROACH FOR OPTIMIZING P-MEDIAN MODELING IN SCHOOL ALLOCATION USING GENETIC ALGORITHM

C. M. Xavier, M. Costa, C. Filho
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Abstract

This paper proposes a new methodology for a multi parameter approach using the p-median. The optimized solution must fulfill the following criteria: It must minimize distances between cities without a university to a city that has a university; It must prioritize cities with a higher population; It must prioritize cities with a lower United Nation Human Development Index. The use of a multiparametric approach was only possible by introducing the concept of a generalized distance. The results compare the existing distribution of campuses of the Federal system with the best location resulting from the multi parameter method proposed here. Locations for expansion of the current established university in Amazonas State, Brazil, are proposed.
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基于遗传算法的学校分配p中值模型多目标优化方法
本文提出了一种使用p中值的多参数方法。优化后的解决方案必须满足以下标准:它必须使没有大学的城市与有大学的城市之间的距离最小;它必须优先考虑人口较多的城市;它必须优先考虑联合国人类发展指数较低的城市。只有引入广义距离的概念,才有可能使用多参数方法。结果将联邦系统的现有校园分布与本文提出的多参数方法得到的最佳位置进行了比较。提出了在巴西亚马逊州扩建现有大学的地点。
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