[1]春霞,周井泉,常瑞云. 基于 Memetic 算法的多目标复杂网络社区检测[J].计算机技术与发展,2016,26(01):53-57.
　ZHOU Chun-xia,ZHOU Jing-quan,CHANG Rui-yun. Multi-objective Complex Network Community Detection Based on Memetic Algorithm[J].,2016,26(01):53-57.
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 基于 Memetic 算法的多目标复杂网络社区检测()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年01期
页码:
53-57
栏目:
智能、算法、系统工程
出版日期:
2016-01-10

文章信息/Info

Title:
 Multi-objective Complex Network Community Detection Based on Memetic Algorithm
文章编号:
1673-629X（2016)01-0053-05
作者:
 春霞; 周井泉; 常瑞云
 南京邮电大学 电子科学与工程学院
Author(s):
 ZHOU Chun-xia; ZHOU Jing-quan; CHANG Rui-yun
关键词:
 ; Memetic 算法; 混合交叉; 局部搜索; 多目标; 网络社区检测
Keywords:
 ; Memetic algorithm; hybrid crossover; local search; multi-objective; network community detection
分类号:
TP301.6
文献标志码:
A
摘要:
 文中研究复杂网络社区检测机制，提出了一种基于 Memetic 算法的多目标社区检测算法。为了提高种群多样性、减少搜索空间和提高算法效率，算法采用标签启发式快速传播的初始化策略，混合交叉，在每个社区中选择一个节点变异等优化两个目标函数，即 Improved Ratio Association (IRA)和 Ratio Cut (RC)，将多目标优化问题转化成同时最小优化这两个目标函数；在局部搜索中利用权重和将两个目标函数构成一个局部优化目标并采用爬山搜索来寻找个体最优。针对计算机合成网络与两个经典真实网络的实验结果表明，与四个基于 EA 的算法和 Fast modularity 算法相比，基于 Memetic 算法的多目标复杂网络社区检测机制在解决复杂网络社区检测问题上具有一定优势。
Abstract:
 The complex network community detection mechanism was studied and a multi - objective community detection based on Memetic algorithm was presented. In order to improve the diversity of the population,reduce the search space and raise the efficiency of the algorithm,the initialization strategy of label heuristic fast propagation and hybrid crossover were used in the algorithm and a node was selected in each community for mutation to optimize two objective functions,namely Improved Ratio Association (IRA) and Ratio Cut (RC),which turns the multi-objective optimization problem into minimal optimization of these two objectives at the same time. In local search,the local optimization target is constituted of weights of two objective functions and a hill-climbing strategy is used to find the best individual. Experiments on computer-generated networks and two classic real networks show that compared with four algorithms based on EAs and fast modularity algorithm,multi-objective community detection based on Memetic algorithm has certain advantages in solving complex network community detection problem.

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更新日期/Last Update: 2016-04-12