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

School of Computer Science

Northwestern Polytechnical University Xian

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

15 Scopus citations

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.

Original language	English
Pages (from-to)	215-218
Number of pages	4
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3612
Issue number	PART III
DOIs	https://doi.org/10.1007/11539902_25
State	Published - 2005
Event	First International Conference on Natural Computation, ICNC 2005 - Changsha, China Duration: 27 Aug 2005 → 29 Aug 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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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.

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M3 - 会议文章

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

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T2 - First International Conference on Natural Computation, ICNC 2005

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A novel immune quantum-inspired genetic algorithm

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