@inproceedings{69911ffb36814e13aecb8814eb60e9ea,
title = "Continuous encoding for community detection in complex networks",
abstract = "In this paper, a novel continuous encoding method developed for multiobjective evolutionary algorithm to solve the community detection problem in complex networks is proposed. Each edge in the considered network is associated with a continuous component of an individual's genotype. Through non-linear operations, each continuous-valued genotype is transformed into a solution to the community detection problem, i.e. a partition of the network nodes. This encoding method is embedded within the algorithmic framework of the multiobjective genetic algorithm for networks (MOGA-Net). Experimental results on synthetic and real-world networks demonstrate that the developed method can improve the performance of MOGA-Net significantly.",
keywords = "MOGA-Net, community detection, continuous encoding",
author = "Wei Zheng and Yiqing Zhang and Jianyong Sun",
note = "Publisher Copyright: {\textcopyright} 2021 Owner/Author.; 2021 Genetic and Evolutionary Computation Conference, GECCO 2021 ; Conference date: 10-07-2021 Through 14-07-2021",
year = "2021",
month = jul,
day = "7",
doi = "10.1145/3449726.3459409",
language = "英语",
series = "GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion",
publisher = "Association for Computing Machinery, Inc",
pages = "141--142",
booktitle = "GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion",
}