一种基于多目标优化鲸鱼优化的群体检测算法

Vision Pub Date : 2022-05-20 DOI:10.1109/cvidliccea56201.2022.9824328

Hong Zhou, Guoqiang Chen

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引用次数: 0

摘要

群落结构是复杂网络的一个重要性质。社区检测可以表述为优化问题。静态网络分析中常用的单一目标在面对相互冲突的优化需求时往往无能为力。本文提出了一种基于多目标鲸鱼优化的社区检测算法(MOWOCD)， MOWOCD可以同时优化KKM和RC。在现实网络上的实验表明，MOWOCD可以获得有效的效果。

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A multiobjective optimization whale optimization based community detection algorithm

Community structure is an important property in complex networks. Community detection can be formulated as optimization problem. The single objective commonly used in the analysis of static networks is often powerless in the face of conflicting optimization demands. In this paper, a multi-objective whale optimization based community detection algorithm (MOWOCD) is proposed, MOWOCD can optimize KKM and RC simultaneously. Experiments on real life networks show that MOWOCD can get effective results.

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