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.


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    Titel :

    An Improved Clone Selection Algorithm for Set Optimization


    Beteiligte:
    Pei, Liguan (Autor:in) / Dong, Kehai (Autor:in) / Tang, Yanhui (Autor:in) / Zhang, Bo (Autor:in) / Yu, Chang (Autor:in)


    Erscheinungsdatum :

    2017-08-22


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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