Proceedings of the 2015 2nd International Forum on Electrical Engineering and Automation (IFEEA 2015)

Local Heuristic Genetic Algorithm for Discovering Community of Complex Networks

Authors
Yuquan Guo, Xiongfei Li
Corresponding Author
Yuquan Guo
Available Online January 2016.
DOI
https://doi.org/10.2991/ifeea-15.2016.20How to use a DOI?
Keywords
Complex network;Heuristic Function; Community Structure; Genetic Algorithm
Abstract
Community of complex networks has attracted much attention. For the problem, we propose a local heuristic genetic algorithm (LHGA). Mutation of LHGA is combined with local heuristic function from the perspective of networks dynamics and makes convergence rate of this algorithm expressively improved. Extensive tests on artificial networks and real world networks give excellent results.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2015 2nd International Forum on Electrical Engineering and Automation (IFEEA 2015)
Part of series
Advances in Engineering Research
Publication Date
January 2016
ISBN
978-94-6252-153-7
ISSN
2352-5401
DOI
https://doi.org/10.2991/ifeea-15.2016.20How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yuquan Guo
AU  - Xiongfei Li
PY  - 2016/01
DA  - 2016/01
TI  - Local Heuristic Genetic Algorithm for Discovering Community of Complex Networks
BT  - 2015 2nd International Forum on Electrical Engineering and Automation (IFEEA 2015)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifeea-15.2016.20
DO  - https://doi.org/10.2991/ifeea-15.2016.20
ID  - Guo2016/01
ER  -