Clonal selection with immune dominance and anergy based multiobjective optimization

Licheng Jiao; Maoguo Gong; Ronghua Shang; Haifeng Du; Bin Lu

doi:10.1007/978-3-540-31880-4_33

Clonal selection with immune dominance and anergy based multiobjective optimization

Licheng Jiao
, Maoguo Gong
, Ronghua Shang
, Haifeng Du
, Bin Lu

School of Public Policy and Administration

Xidian University

Research output: Contribution to journal › Conference article › peer-review

69 Scopus citations

Abstract

Based on the concept of Immunodominance and Antibody Clonal Selection Theory, we propose a new artificial immune system algorithm, Immune Dominance Clonal Multiobjective Algorithm (IDCMA). The influences of main parameters are analyzed empirically. The simulation comparisons among IDCMA, the Random-Weight Genetic Algorithm and the Strength Pareto Evolutionary Algorithm show that when low-dimensional multiobjective problems are concerned, IDCMA has the best performance in metrics such as Spacing and Coverage of Two Sets.

Original language	English
Pages (from-to)	474-489
Number of pages	16
Journal	Lecture Notes in Computer Science
Volume	3410
DOIs	https://doi.org/10.1007/978-3-540-31880-4_33
State	Published - 2005
Event	Third International Conference on Evolutionary Multi-Criterion Optimization, EMO 2005 - Guanajuato, Mexico Duration: 9 Mar 2005 → 11 Mar 2005

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title = "Clonal selection with immune dominance and anergy based multiobjective optimization",

abstract = "Based on the concept of Immunodominance and Antibody Clonal Selection Theory, we propose a new artificial immune system algorithm, Immune Dominance Clonal Multiobjective Algorithm (IDCMA). The influences of main parameters are analyzed empirically. The simulation comparisons among IDCMA, the Random-Weight Genetic Algorithm and the Strength Pareto Evolutionary Algorithm show that when low-dimensional multiobjective problems are concerned, IDCMA has the best performance in metrics such as Spacing and Coverage of Two Sets.",

author = "Licheng Jiao and Maoguo Gong and Ronghua Shang and Haifeng Du and Bin Lu",

year = "2005",

doi = "10.1007/978-3-540-31880-4\_33",

language = "英语",

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pages = "474--489",

journal = "Lecture Notes in Computer Science",

issn = "0302-9743",

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note = "Third International Conference on Evolutionary Multi-Criterion Optimization, EMO 2005 ; Conference date: 09-03-2005 Through 11-03-2005",

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T1 - Clonal selection with immune dominance and anergy based multiobjective optimization

AU - Jiao, Licheng

AU - Gong, Maoguo

AU - Shang, Ronghua

AU - Du, Haifeng

AU - Lu, Bin

PY - 2005

Y1 - 2005

N2 - Based on the concept of Immunodominance and Antibody Clonal Selection Theory, we propose a new artificial immune system algorithm, Immune Dominance Clonal Multiobjective Algorithm (IDCMA). The influences of main parameters are analyzed empirically. The simulation comparisons among IDCMA, the Random-Weight Genetic Algorithm and the Strength Pareto Evolutionary Algorithm show that when low-dimensional multiobjective problems are concerned, IDCMA has the best performance in metrics such as Spacing and Coverage of Two Sets.

AB - Based on the concept of Immunodominance and Antibody Clonal Selection Theory, we propose a new artificial immune system algorithm, Immune Dominance Clonal Multiobjective Algorithm (IDCMA). The influences of main parameters are analyzed empirically. The simulation comparisons among IDCMA, the Random-Weight Genetic Algorithm and the Strength Pareto Evolutionary Algorithm show that when low-dimensional multiobjective problems are concerned, IDCMA has the best performance in metrics such as Spacing and Coverage of Two Sets.

UR - https://www.scopus.com/pages/publications/24344467542

U2 - 10.1007/978-3-540-31880-4_33

DO - 10.1007/978-3-540-31880-4_33

M3 - 会议文章

AN - SCOPUS:24344467542

SN - 0302-9743

VL - 3410

SP - 474

EP - 489

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

T2 - Third International Conference on Evolutionary Multi-Criterion Optimization, EMO 2005

Y2 - 9 March 2005 through 11 March 2005

ER -

Clonal selection with immune dominance and anergy based multiobjective optimization

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