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A novel immune quantum-inspired genetic algorithm

  • Ying Li
  • , Yanning Zhang
  • , Yinglei Cheng
  • , Xiaoyue Jiang
  • , Rongchun Zhao
  • Northwestern Polytechnical University Xian

科研成果: 书/报告/会议事项章节会议稿件同行评审

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
主期刊名Advances in Natural Computation
主期刊副标题1st International Conference, ICNC 2005 - Proceedings
出版商Springer Verlag
215-218
页数4
版本PART III
ISBN(印刷版)9783540283201
DOI
出版状态已出版 - 2005
活动1st International Conference on Natural Computation, ICNC 2005 - Changsha, 中国
期限: 27 8月 200529 8月 2005

出版系列

姓名Lecture Notes in Computer Science
编号PART III
3612
ISSN(印刷版)0302-9743

会议

会议1st International Conference on Natural Computation, ICNC 2005
国家/地区中国
Changsha
时期27/08/0529/08/05

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