Title :
A degree-based genetic algorithm for constrained pinning control in complex networks
Author :
Yang, Cui-Li ; Tang, Wallace Kit-Sang
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong, China
Abstract :
In this paper, a novel genetic algorithm (GA) is presented to tackle with the constrained pinning control problem for complex networks. The information of the node degree is incorporated in the design so that a set of pinned nodes can be duly obtained. In addition, the control strength of each selected node is assigned by the use of a decrease-and-conquer approach, satisfying the total control strength constraint of the problem. Simulation results confirm the effectiveness of the design and it outperforms other evolutionary algorithms and conventional node selection approaches.
Keywords :
genetic algorithms; network theory (graphs); GA; complex networks; constrained pinning control; decrease-and-conquer approach; degree based genetic algorithm; Biological cells; Complex networks; Couplings; Evolutionary computation; Genetic algorithms; Optimization; Simulation;
Conference_Titel :
Circuits and Systems (ISCAS), 2012 IEEE International Symposium on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-0218-0
DOI :
10.1109/ISCAS.2012.6272189
