Immune clonal selection network and its learning algorithm

Hai Feng Du; Li Cheng Jiao; Mao Guo Gong; Ruo Chen Liu

Immune clonal selection network and its learning algorithm

Hai Feng Du
, Li Cheng Jiao
, Mao Guo Gong
, Ruo Chen Liu

School of Public Policy and Administration

Xidian University

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

Based on immunological antibody clonal selection theory, the general steps of Immune Clonal Selection Algorithm (ICSA) are presented in this paper. We put forward the network framework of ICSA, and the dynamic characteristics of ICSA based on the Lyapunov theory are analyzed. Then this paper introduces a novel Artificial Immune System Algorithm, Pseudo-Grads Hybrid Immune Clonal Selection Network (GHICSN). The simulation results of some functions optimization indicate that GHICSN improves the performance of ICSA to some extend.

Original language	English
Pages (from-to)	198-204
Number of pages	7
Journal	Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence
Volume	18
Issue number	2
State	Published - Apr 2005

Keywords

Clonal selection
Learning algorithm
Lyapunov theory

Cite this

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title = "Immune clonal selection network and its learning algorithm",

abstract = "Based on immunological antibody clonal selection theory, the general steps of Immune Clonal Selection Algorithm (ICSA) are presented in this paper. We put forward the network framework of ICSA, and the dynamic characteristics of ICSA based on the Lyapunov theory are analyzed. Then this paper introduces a novel Artificial Immune System Algorithm, Pseudo-Grads Hybrid Immune Clonal Selection Network (GHICSN). The simulation results of some functions optimization indicate that GHICSN improves the performance of ICSA to some extend.",

keywords = "Clonal selection, Learning algorithm, Lyapunov theory",

author = "Du, \{Hai Feng\} and Jiao, \{Li Cheng\} and Gong, \{Mao Guo\} and Liu, \{Ruo Chen\}",

year = "2005",

month = apr,

language = "英语",

volume = "18",

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journal = "Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence",

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T1 - Immune clonal selection network and its learning algorithm

AU - Du, Hai Feng

AU - Jiao, Li Cheng

AU - Gong, Mao Guo

AU - Liu, Ruo Chen

PY - 2005/4

Y1 - 2005/4

N2 - Based on immunological antibody clonal selection theory, the general steps of Immune Clonal Selection Algorithm (ICSA) are presented in this paper. We put forward the network framework of ICSA, and the dynamic characteristics of ICSA based on the Lyapunov theory are analyzed. Then this paper introduces a novel Artificial Immune System Algorithm, Pseudo-Grads Hybrid Immune Clonal Selection Network (GHICSN). The simulation results of some functions optimization indicate that GHICSN improves the performance of ICSA to some extend.

AB - Based on immunological antibody clonal selection theory, the general steps of Immune Clonal Selection Algorithm (ICSA) are presented in this paper. We put forward the network framework of ICSA, and the dynamic characteristics of ICSA based on the Lyapunov theory are analyzed. Then this paper introduces a novel Artificial Immune System Algorithm, Pseudo-Grads Hybrid Immune Clonal Selection Network (GHICSN). The simulation results of some functions optimization indicate that GHICSN improves the performance of ICSA to some extend.

KW - Clonal selection

KW - Learning algorithm

KW - Lyapunov theory

UR - https://www.scopus.com/pages/publications/19644371827

M3 - 文章

AN - SCOPUS:19644371827

SN - 1003-6059

VL - 18

SP - 198

EP - 204

JO - Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence

JF - Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence

IS - 2

ER -

Immune clonal selection network and its learning algorithm

Abstract

Keywords

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