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Advances of Science and Technology. 8th EAI International Conference, ICAST 2020, Bahir Dar, Ethiopia, October 2-4, 2020, Proceedings, Part I

Research Article

A Study on Performance Characteristics of Immune System for Practical Application

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  • @INPROCEEDINGS{10.1007/978-3-030-80621-7_38,
        author={Dong Hwa Kim and T. Y. Tefera and Dae Hee Won},
        title={A Study on Performance Characteristics of Immune System for Practical Application},
        proceedings={Advances of Science and Technology. 8th EAI International Conference, ICAST 2020, Bahir Dar, Ethiopia, October 2-4, 2020, Proceedings, Part I},
        proceedings_a={ICAST},
        year={2021},
        month={7},
        keywords={Genetic algorithm Immune algorithm AI Nonlinear Pendulum control},
        doi={10.1007/978-3-030-80621-7_38}
    }
    
  • Dong Hwa Kim
    T. Y. Tefera
    Dae Hee Won
    Year: 2021
    A Study on Performance Characteristics of Immune System for Practical Application
    ICAST
    Springer
    DOI: 10.1007/978-3-030-80621-7_38
Dong Hwa Kim1,*, T. Y. Tefera, Dae Hee Won
  • 1: EPCE
*Contact email: worldhucare@gmail.com

Abstract

This paper deals with the characteristics of performance of Immune System (IS) for practical application. Research builds immune based control model for pendulum with nonlinear characteristic and compare its characteristics with GA. IS always has a new parallel decentralized processing mechanism for various situations by using the antibody communication function. Antibody has huge communication system function among different species of antibodies B-cells through the stimulation and suppression chains among antibodies that form a large-scaled network. In addition to that, the structure of the network is not fixed, but varies continuously. That is, IS has a flexibly self-organizes according to dynamic changes of external situation. From the above facts, this paper studies performance of controller of IS and compare its control function with GA.

Keywords
Genetic algorithm Immune algorithm AI Nonlinear Pendulum control
Published
2021-07-15
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-80621-7_38
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