Immune algorithm based on immune recognition

Si Hai Zhang; Xian Bin Cao; Xu Fa Wang

Immune algorithm based on immune recognition

Si Hai Zhang^*
, Xian Bin Cao
, Xu Fa Wang

^*此作品的通讯作者

University of Science and Technology of China

科研成果: 期刊稿件 › 文章 › 同行评审

8 引用（Scopus）

摘要

Immune algorithm has become a hotspot in the area of computational intelligence. We proposed an immune algorithm based on immune recognition(lAIR). The design of lAIR was inspired by the negative selection mechanism in die biological immune system and its idea was different with current optimization methods in that it got the good solution by excluding bad solutions. This paper introduced in detail the design of IA1R, analyzed its ability and time complexity. We also designed experiments to solve the TSP problem. The theoretical analysis and experimental results showed that IAIR had a good ability of problem solving.

源语言	英语
页（从-至）	1840-1844
页数	5
期刊	Tien Tzu Hsueh Pao/Acta Electronica Sinica
卷	30
期	12
出版状态	已出版 - 12月 2002
已对外发布	是

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title = "Immune algorithm based on immune recognition",

abstract = "Immune algorithm has become a hotspot in the area of computational intelligence. We proposed an immune algorithm based on immune recognition(lAIR). The design of lAIR was inspired by the negative selection mechanism in die biological immune system and its idea was different with current optimization methods in that it got the good solution by excluding bad solutions. This paper introduced in detail the design of IA1R, analyzed its ability and time complexity. We also designed experiments to solve the TSP problem. The theoretical analysis and experimental results showed that IAIR had a good ability of problem solving.",

keywords = "Immune algorithm, Immune recognition, Negative selection, TSP",

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T1 - Immune algorithm based on immune recognition

AU - Zhang, Si Hai

AU - Cao, Xian Bin

AU - Wang, Xu Fa

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N2 - Immune algorithm has become a hotspot in the area of computational intelligence. We proposed an immune algorithm based on immune recognition(lAIR). The design of lAIR was inspired by the negative selection mechanism in die biological immune system and its idea was different with current optimization methods in that it got the good solution by excluding bad solutions. This paper introduced in detail the design of IA1R, analyzed its ability and time complexity. We also designed experiments to solve the TSP problem. The theoretical analysis and experimental results showed that IAIR had a good ability of problem solving.

AB - Immune algorithm has become a hotspot in the area of computational intelligence. We proposed an immune algorithm based on immune recognition(lAIR). The design of lAIR was inspired by the negative selection mechanism in die biological immune system and its idea was different with current optimization methods in that it got the good solution by excluding bad solutions. This paper introduced in detail the design of IA1R, analyzed its ability and time complexity. We also designed experiments to solve the TSP problem. The theoretical analysis and experimental results showed that IAIR had a good ability of problem solving.

KW - Immune algorithm

KW - Immune recognition

KW - Negative selection

KW - TSP

UR - https://www.scopus.com/pages/publications/0036977501

M3 - 文章

AN - SCOPUS:0036977501

SN - 0372-2112

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JO - Tien Tzu Hsueh Pao/Acta Electronica Sinica

JF - Tien Tzu Hsueh Pao/Acta Electronica Sinica

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ER -

Immune algorithm based on immune recognition

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