Combinatorial optimization np-hard problem solved by using the quadratic assignment problem (QAP) solution through a parallel genetic algorithm on GPU

Eduardo Cárdenas Gómez, Roberto Poveda Chaves, Orlando García Hurtado
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Abstract

In this article, some instances of well known combinatorial optimization NP-Hard problems are solved by using Koopmans and Beckmann formulation of the quadratic assignment problem (QAP). These instances are solved by using an Embarrassingly Parallel Genetic Algorithm or by using an Island Parallel Genetic Algorithm; in both cases, the implementation is carried out on Graphics Processing Units (GPUs).
在GPU上采用并行遗传算法求解二次分配问题的组合优化np-hard问题
本文利用二次分配问题(QAP)的Koopmans和Beckmann公式解决了一些著名的组合优化NP-Hard问题。采用尴尬并行遗传算法或孤岛并行遗传算法求解这些实例;在这两种情况下,实现都是在图形处理单元(gpu)上进行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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