Node selection and gain assignment in pinning control using genetic algorithm

In this paper, a genetic algorithm (GA) is proposed to tackle with the constrained pinning control problem in complex networks. Based on a hierarchical chromosome structure, it is demonstrated that suitable pinned nodes can be selected with appropriate control gains, resulting in a better synchrony...

Full description

Saved in:
Bibliographic Details
Main Authors: Cui-Li Yang, Tang, W. K-S, Qiang Jia
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Barium
Erbium
Genetic algorithms
Genetics
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, a genetic algorithm (GA) is proposed to tackle with the constrained pinning control problem in complex networks. Based on a hierarchical chromosome structure, it is demonstrated that suitable pinned nodes can be selected with appropriate control gains, resulting in a better synchrony capability of the entire network. Simulation results verify the effectiveness of this method, and it is concluded that the proposed approach can outperform some other evolutionary algorithms and the conventional node selection approaches.
ISSN:1553-572X
DOI:10.1109/IECON.2012.6388704