Abstract An improved CSA is put forward based on the shortcomings of traditional CSA which cannot meliorate set well. First, antibody cleaning is added, and antibody selection is improved. This step is very important for the process of set optimization, and antibody cleaning’s aim is to delete the similar antibody. Antibody selection is to perform the local search to cleaned antibody set, and the process of total optimal solution searching is deleted. Then, the objective function of the antibody set is made to judge set’s quality which does not exist in the traditional method. Each time the local search is completed, the affinity of antibody set needs to be calculated, and the several times iterative calculations need to be compared. In addition, the process of best individual selection is cut out, and the quality of analysis is increased. At last, the experiment and simulation prove that the improved CSA is effective.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    An Improved Clone Selection Algorithm for Set Optimization


    Contributors:
    Pei, Liguan (author) / Dong, Kehai (author) / Tang, Yanhui (author) / Zhang, Bo (author) / Yu, Chang (author)


    Publication date :

    2017-08-22


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Solving Task Assignment Problem by Master-slave Immune Clone Selection Algorithm

    Shi, G. / Jing, Y. / Zou, D. | British Library Online Contents | 2011


    Features Selection via Immune Memory Clone

    Zhu, H. / Jiao, L. | British Library Online Contents | 2008


    Structural Damage Detection and Classification Based on Clone Selection Algorithm of Particle Swarm Mutation

    Zhou, Yue / Yue, Linbei / Zhang, Lixin et al. | British Library Online Contents | 2015


    Reduction of Rough Set Attribute Based on Immune Clone Selection

    Lin, L. / Guanghua, X. | British Library Online Contents | 2005