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 | |
| 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 |