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Title |
An Immune Algorithm based on the Complement Activation Pathway |
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Author |
Chen Guangzhu, Li Zhishu, Yuan Daohua, Nimazhaxi, Zhai yusheng |
| Citation |
Vol. 6 No. 1 pp. 147~152 |
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Abstract |
Artificial Immune System (AIS) is a novel evolutionary paradigm inspired by the biological immune system. The models based on immune system principles, such as the clonal selection theory, the immune network model or the negative selection algorithm, have been finding increasing applications in fields of science and engineering. The presented algorithms only simulates a little of principles of the immune system. Since the immune system is a complex biologic system, which includes many principles, which can offer elicitations for engineering application. The complement system, which represents a chief component of innate immunity, not only participates in inflammation but also acts to enhance the adaptive immune response. In the complement system, the activation of complement proteins are really the evolution processes of complement proteins, in which, complement proteins cleave and bind, finally forms a complex resulting in an impairment of osmotic regulation and subsequent cytolysis .In this paper, we develop a novel immunological algorithm based on the complement system-An Immune Complement Algorithm (ICA). ICA mainly simulates the classical pathway of the complement system. In the algorithm, two operators: cleave operator and bind operator are presented, cleave operator cleaves a complement individual into two sub-individuals, while bind operator binds two individuals together and forms a big individual. The experiments of ICA compared with the standard genetic algorithm (SGA) and the clonal selection algorithm (CSA) are implemented. The experiment results show that ICA is better than SGA and CSA. ICA offers new elicitations for engineering application. |
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Keywords |
Artificial immune system, Complement system, Immune complement algorithm, Cleave operator, Bind operator |
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