Clonal operator and antibody clone algorithms

Hai Feng Du; Li Cheng Jiao; Sun An Wang

Clonal operator and antibody clone algorithms

Hai Feng Du
, Li Cheng Jiao
, Sun An Wang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

104 Scopus citations

Abstract

Based on the clonal selection theory, the main mechanisms of clone in immune system, which will be explored in the field of artificial intelligence, are analyzed in this paper. A new artificial immune system algorithm, Antibody Clone Algorithm, is put forward. Compared with an improved gene algorithm, the new algorithm is shown to be an evolutionary strategy capable of solving complex machine learning tasks, like multi-modal optimization. And using the theories of Markov Chain, it is proofed that the antibody clone algorithm is convergent.

Original language	English
Title of host publication	Proceedings of 2002 International Conference on Machine Learning and Cybernetics
Pages	506-510
Number of pages	5
State	Published - 2002
Externally published	Yes
Event	Proceedings of 2002 International Conference on Machine Learning and Cybernetics - Beijing, China Duration: 4 Nov 2002 → 5 Nov 2002

Publication series

Name	Proceedings of 2002 International Conference on Machine Learning and Cybernetics
Volume	1

Conference

Conference	Proceedings of 2002 International Conference on Machine Learning and Cybernetics
Country/Territory	China
City	Beijing
Period	4/11/02 → 5/11/02

Keywords

Artificial immune system
Artificial intelligence
Clone
Gene algorithms

Cite this

@inproceedings{2996cb5bec184ec696936a0e1e03b2a8,

title = "Clonal operator and antibody clone algorithms",

abstract = "Based on the clonal selection theory, the main mechanisms of clone in immune system, which will be explored in the field of artificial intelligence, are analyzed in this paper. A new artificial immune system algorithm, Antibody Clone Algorithm, is put forward. Compared with an improved gene algorithm, the new algorithm is shown to be an evolutionary strategy capable of solving complex machine learning tasks, like multi-modal optimization. And using the theories of Markov Chain, it is proofed that the antibody clone algorithm is convergent.",

keywords = "Artificial immune system, Artificial intelligence, Clone, Gene algorithms",

author = "Du, \{Hai Feng\} and Jiao, \{Li Cheng\} and Wang, \{Sun An\}",

year = "2002",

language = "英语",

isbn = "0780375084",

series = "Proceedings of 2002 International Conference on Machine Learning and Cybernetics",

pages = "506--510",

booktitle = "Proceedings of 2002 International Conference on Machine Learning and Cybernetics",

note = "Proceedings of 2002 International Conference on Machine Learning and Cybernetics ; Conference date: 04-11-2002 Through 05-11-2002",

}

Du, HF, Jiao, LC & Wang, SA 2002, Clonal operator and antibody clone algorithms. in Proceedings of 2002 International Conference on Machine Learning and Cybernetics. Proceedings of 2002 International Conference on Machine Learning and Cybernetics, vol. 1, pp. 506-510, Proceedings of 2002 International Conference on Machine Learning and Cybernetics, Beijing, China, 4/11/02.

Clonal operator and antibody clone algorithms. / Du, Hai Feng; Jiao, Li Cheng; Wang, Sun An.
Proceedings of 2002 International Conference on Machine Learning and Cybernetics. 2002. p. 506-510 (Proceedings of 2002 International Conference on Machine Learning and Cybernetics; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Clonal operator and antibody clone algorithms

AU - Du, Hai Feng

AU - Jiao, Li Cheng

AU - Wang, Sun An

PY - 2002

Y1 - 2002

N2 - Based on the clonal selection theory, the main mechanisms of clone in immune system, which will be explored in the field of artificial intelligence, are analyzed in this paper. A new artificial immune system algorithm, Antibody Clone Algorithm, is put forward. Compared with an improved gene algorithm, the new algorithm is shown to be an evolutionary strategy capable of solving complex machine learning tasks, like multi-modal optimization. And using the theories of Markov Chain, it is proofed that the antibody clone algorithm is convergent.

AB - Based on the clonal selection theory, the main mechanisms of clone in immune system, which will be explored in the field of artificial intelligence, are analyzed in this paper. A new artificial immune system algorithm, Antibody Clone Algorithm, is put forward. Compared with an improved gene algorithm, the new algorithm is shown to be an evolutionary strategy capable of solving complex machine learning tasks, like multi-modal optimization. And using the theories of Markov Chain, it is proofed that the antibody clone algorithm is convergent.

KW - Artificial immune system

KW - Artificial intelligence

KW - Clone

KW - Gene algorithms

UR - https://www.scopus.com/pages/publications/0036925147

M3 - 会议稿件

AN - SCOPUS:0036925147

SN - 0780375084

T3 - Proceedings of 2002 International Conference on Machine Learning and Cybernetics

SP - 506

EP - 510

BT - Proceedings of 2002 International Conference on Machine Learning and Cybernetics

T2 - Proceedings of 2002 International Conference on Machine Learning and Cybernetics

Y2 - 4 November 2002 through 5 November 2002

ER -

Clonal operator and antibody clone algorithms

Abstract

Publication series

Conference

Keywords

Other files and links

Fingerprint

Cite this