文章基本信息

标题：SOME FURTHER EXPERIMENTS WITH THE GENETIC ALGORITHM FOR THE QUADRATIC ASSIGNMENT PROBLEM
本地全文：下载
作者：Misevičius, Alfonsas ; Rubliauskas, Dalius ; Barkauskas, Vytautas 等
期刊名称：Information Technology And Control
印刷版ISSN：2335-884X
出版年度：2009
卷号：38
期号：4
DOI：10.5755/j01.itc.38.4.12078
语种：English
出版社：Kaunas University of Technology
摘要：In this paper, some further experiments with the genetic algorithm (GA) for the quadratic assignment problem (QAP) are described. We propose to use a particle-swarm-optimization-based approach for tuning the values of the parameters of the genetic algorithm for solving the QAP. The resulting combined self-adaptive swarm optimization- genetic algorithm enables to efficiently auto-configure the control parameters for GA — which leads to excellent quality solutions, especially for the real-life like (structured) QAP instances.