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| Immunization Strategy with Particle Swarm Optimization for Virus Spread Control in Weighted Scale-Free Networks |
| GUO Wen-Zhong1,2 ,CHEN Guo-Long1,WANG Ning-Ning1,LIN Bing1 |
1. College of Mathematics and Computer Science,Fuzhou University,Fuzhou 350108
2.School of Computer,National University of Defense Technology,Changsha 410073 |
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Abstract An immunization strategy based on particle swarm optimization is presented to effectively solve the control of the virus spread in the weighted scale-free networks. Motivated by the idea of network partition,two optimization goals with the sub-network scale and the sum of the sub-network strength are simultaneously taken into account. Moreover,the mutation and the crossover operator of genetic algorithm are introduced to improve the population diversity and avoid the algorithm falling into a local optimal solution prematurely. Simulation results show that the proposed immunization strategy has better performance than the targeted immunization strategy which is generally considered to be highly efficient at present. Through immunizing the specified number of nodes,the network can be well divided into the sub-networks whose nodes number and sum of nodes strength are as small as possible.
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Received: 09 April 2012
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2013, Vol. 26 
