基于改进遗传算法的链路负载均衡研究

Li Zhao, Yu-min Dong, Chen-yang Huang
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引用次数: 7

摘要

负载均衡技术可以解决现代网络中由于流量分布不均而造成的网络拥塞问题。由于网络链路负载均衡是一个np完全问题,很难用传统的方法来处理,引入了遗传算法的思想。遗传算法具有高效并行的特点,可以快速找到全局最优解。文章在传统遗传算法的基础上,提出了一种基于改进遗传算法的网络链路负载均衡策略。实验表明,该方法能较好地找到问题的答案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Study of Link Load Balancing Based on Improved Genetic Algorithm
Load balancing technology can solve the network congestion problems of modern network which is caused by uneven distribution of traffic. As the network link load balancing is an NP-complete problem, it is difficult to use traditional method to deal with, introducing the idea of genetic algorithm. Using genetic algorithm, the characteristics of efficient and parallel can help to find the global optimal solution quickly. Article on the basis of traditional genetic algorithm, this paper puts forward a network link load balancing strategy based on improved genetic algorithm. Experiments show that it can find the answer to the problem better.
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