A novel immune quantum-inspired genetic algorithm

Ying Li; Yanning Zhang; Yinglei Cheng; Xiaoyue Jiang; Rongchun Zhao

doi:10.1007/11539902_25

A novel immune quantum-inspired genetic algorithm

Ying Li
, Yanning Zhang
, Yinglei Cheng
, Xiaoyue Jiang
, Rongchun Zhao

计算机学院

Northwestern Polytechnical University Xian

科研成果: 期刊稿件 › 会议文章 › 同行评审

16 引用（Scopus）

摘要

A new algorithm, the immune quantum-inspired genetic algorithm (IQGA), is proposed by introducing immune concepts and methods into quantum-inspired genetic algorithm (QGA). In application to the knapsack problem, which is a well-known combinatorial optimization problem, the proposed algorithm performs better than the conventional GA (CGA), the immune GA (IGA) and QGA.

源语言	英语
页（从-至）	215-218
页数	4
期刊	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷	3612
期	PART III
DOI	https://doi.org/10.1007/11539902_25
出版状态	已出版 - 2005
活动	First International Conference on Natural Computation, ICNC 2005 - Changsha, 中国期限: 27 8月 2005 → 29 8月 2005

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10.1007/11539902_25

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title = "A novel immune quantum-inspired genetic algorithm",

abstract = "A new algorithm, the immune quantum-inspired genetic algorithm (IQGA), is proposed by introducing immune concepts and methods into quantum-inspired genetic algorithm (QGA). In application to the knapsack problem, which is a well-known combinatorial optimization problem, the proposed algorithm performs better than the conventional GA (CGA), the immune GA (IGA) and QGA.",

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AU - Zhang, Yanning

AU - Cheng, Yinglei

AU - Jiang, Xiaoyue

AU - Zhao, Rongchun

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Y1 - 2005

N2 - A new algorithm, the immune quantum-inspired genetic algorithm (IQGA), is proposed by introducing immune concepts and methods into quantum-inspired genetic algorithm (QGA). In application to the knapsack problem, which is a well-known combinatorial optimization problem, the proposed algorithm performs better than the conventional GA (CGA), the immune GA (IGA) and QGA.

AB - A new algorithm, the immune quantum-inspired genetic algorithm (IQGA), is proposed by introducing immune concepts and methods into quantum-inspired genetic algorithm (QGA). In application to the knapsack problem, which is a well-known combinatorial optimization problem, the proposed algorithm performs better than the conventional GA (CGA), the immune GA (IGA) and QGA.

UR - https://www.scopus.com/pages/publications/26844483524

U2 - 10.1007/11539902_25

DO - 10.1007/11539902_25

M3 - 会议文章

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EP - 218

JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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IS - PART III

T2 - First International Conference on Natural Computation, ICNC 2005

Y2 - 27 August 2005 through 29 August 2005

ER -

A novel immune quantum-inspired genetic algorithm

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