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GRASP with Path-Relinking for the Maximum Diversity Problem

机译:具有路径重新链接的GRASP解决了最大多样性问题

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摘要

The Maximum Diversity Problem (MDP) consists in identifying, in a population, a subset of elements, characterized by a set of attributes, that present the most diverse characteristics between themselves. The identification of such solution is an NP-hard problem. This paper presents a GRASP heuristic associated with the path-relinking technique developed to obtain high-quality solutions for this problem in a competitive computational time. Experimental results illustrate the effectiveness of using the path-relinking method to improve results generated by pure GRASP.
机译:最大多样性问题(MDP)在于识别总体中以一组属性为特征的元素子集,这些元素子集之间具有最多样化的特征。这种解决方案的识别是一个NP难题。本文介绍了一种GRASP启发式方法,该方法与经过重新设计的路径重新链接技术相结合,可以在竞争性的计算时间内获得针对该问题的高质量解决方案。实验结果说明了使用路径重新链接方法改善纯GRASP生成结果的有效性。

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