Open Access Open Access  Restricted Access Subscription or Fee Access

Adaptive Particle Swarm Optimization Based Artificial Immune Network Classification Algorithm

Ruochen Liu, Manchun Niu, Lina Tang, Licheng Jiao


Artificial immune network algorithm (AIN) is a new computational intelligence method. The mutation operators in most of existed artificial immune network algorithms for classifier are random mutation, which leads to a just passable search ability and low classification accuracy. In order to overcome such problem and guide the B-cells to evolve in optimal direction, an adaptive Particle Swarm Optimization (PSO) is introduced into AIN as a new mutation operation and a new classification algorithm - Adaptive PSO based Artificial Immune Network Classification algorithm (APAINC) is proposed. The proposed algorithm has been extensively compared with Artificial Immune Network Classification algorithm based on random mutation (AINC) and Artificial Immune Network Classification Algorithm based on PSO (PSOAINC) over four UCI data sets with large size and two artificial texture images and three SAR images. The result of experiment indicates the superiority of APAINC over AINC and PSOAINC on classification accuracy.


SAR image; PSO

Full Text:



  • There are currently no refbacks.

Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.