Immunity poly-clonal strategies

Ruo Chen Liu; Hai Feng Du; Li Cheng Jiao

Immunity poly-clonal strategies

Ruo Chen Liu
, Hai Feng Du
, Li Cheng Jiao

Xidian University
Northwest University China

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

9 Scopus citations

Abstract

Based on the clonal selection theory, the main mechanisms of clone used in the field of artificial intelligence are analyzed in this paper. An improved evolutionary strategies algorithm, immunity poly-clonal strategy algorithm (IPSA), is put forward. Compared with the classical evolutionary strategies (CES), IPSA is shown to be an evolutionary strategy capable of solving complex machine learning tasks, like multi-objective optimization, and the results are better. Using the theories of Markov chain, it is proved that IPSA is convergent.

Original language	English
Pages (from-to)	571-576
Number of pages	6
Journal	Jisuanji Yanjiu yu Fazhan/Computer Research and Development
Volume	41
Issue number	4
State	Published - Apr 2004
Externally published	Yes

Keywords

Clonal selection
Evolutionary algorithm
Evolutionary strategies
Markov chain

Cite this

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title = "Immunity poly-clonal strategies",

abstract = "Based on the clonal selection theory, the main mechanisms of clone used in the field of artificial intelligence are analyzed in this paper. An improved evolutionary strategies algorithm, immunity poly-clonal strategy algorithm (IPSA), is put forward. Compared with the classical evolutionary strategies (CES), IPSA is shown to be an evolutionary strategy capable of solving complex machine learning tasks, like multi-objective optimization, and the results are better. Using the theories of Markov chain, it is proved that IPSA is convergent.",

keywords = "Clonal selection, Evolutionary algorithm, Evolutionary strategies, Markov chain",

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

year = "2004",

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journal = "Jisuanji Yanjiu yu Fazhan/Computer Research and Development",

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T1 - Immunity poly-clonal strategies

AU - Liu, Ruo Chen

AU - Du, Hai Feng

AU - Jiao, Li Cheng

PY - 2004/4

Y1 - 2004/4

N2 - Based on the clonal selection theory, the main mechanisms of clone used in the field of artificial intelligence are analyzed in this paper. An improved evolutionary strategies algorithm, immunity poly-clonal strategy algorithm (IPSA), is put forward. Compared with the classical evolutionary strategies (CES), IPSA is shown to be an evolutionary strategy capable of solving complex machine learning tasks, like multi-objective optimization, and the results are better. Using the theories of Markov chain, it is proved that IPSA is convergent.

AB - Based on the clonal selection theory, the main mechanisms of clone used in the field of artificial intelligence are analyzed in this paper. An improved evolutionary strategies algorithm, immunity poly-clonal strategy algorithm (IPSA), is put forward. Compared with the classical evolutionary strategies (CES), IPSA is shown to be an evolutionary strategy capable of solving complex machine learning tasks, like multi-objective optimization, and the results are better. Using the theories of Markov chain, it is proved that IPSA is convergent.

KW - Clonal selection

KW - Evolutionary algorithm

KW - Evolutionary strategies

KW - Markov chain

UR - https://www.scopus.com/pages/publications/2942584922

M3 - 文章

AN - SCOPUS:2942584922

SN - 1000-1239

VL - 41

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EP - 576

JO - Jisuanji Yanjiu yu Fazhan/Computer Research and Development

JF - Jisuanji Yanjiu yu Fazhan/Computer Research and Development

IS - 4

ER -

Immunity poly-clonal strategies

Abstract

Keywords

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