Computer Science ›› 2018, Vol. 45 ›› Issue (1): 285-291.doi: 10.11896/j.issn.1002-137X.2018.01.050

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Improved Chicken Swarm Optimization Algorithm and Its Application in DTI-FA Image Registration

ZHENG Wei, JIANG Chen-jiao, LIU Shuai-qi and ZHAO Jie   

  • Online:2018-01-15 Published:2018-11-13

Abstract: Chicken swarm optimization algorithm(CSO) is a new swarm intelligence optimization algorithm,which has the characteristics of simple and good scalability.In view of the problem that the chicken swarm optimization algorithm is easy to fall into the local extremum for a hen has poor optimization ability,a chaotic improved chicken swarm optimization algorithm (CICSO) was proposed.In this algorithm,the position of chicken is initialized by the ergodicity of the chaotic idea,and the position updating formula of the hen is changed to the rooster with the best global fitness value.In addition,the learning factor is introduced to avoid the local optimum.At last,the improved algorithm (CICSO) was applied to DTI-FA image registration.Simulation results show that the improved algorithm can avoid falling into local extremum,improves the convergence precision and the registration accuracy of the image in the DTI-FA image registration.

Key words: Chicken swarm optimization,Search scope,Chaotic improved chicken swarm optimization,Test functions,Image registration

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