基于QoS的路径优化问题的多目标人工蜂群算法

Changsheng Zhang, Yunbin Li, Zhonglin Li, Bin Zhang
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引用次数: 6

摘要

基于QoS的路由优化是无线网络的一个关键问题,是一个npc难的多目标离散优化问题。针对这一问题,本文提出了一种基于Pareto优势的高效多目标人工蜂群优化算法MOABC。在一组不同规模的测试问题上对该算法进行了评价,并与基于遗传算法的多目标优化算法进行了比较。实验结果在溶液质量和处理时间方面显示出令人鼓舞的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A multi-objective artificial bee colony algorithm for QoS based route optimization problem
The QoS based route optimization is a key issue of the wireless network, which is a NPC-hard multi-objective discrete optimization problem. In this paper, an efficient multi-objective artificial bee colony optimization algorithm based on Pareto dominance called MOABC is proposed to tackle this problem. The algorithm was evaluated on a set of different scale test problems and compared with GA based multi-objective optimization algorithm for this problem. The experimental results reveal very encouraging results in terms of the quality of solution and the processing time required.
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