| 引用本文: | 汪定伟,于海斌.免疫遗传算法及在新产品投入计划中的应用[J].控制理论与应用,2002,19(5):725~730.[点击复制] |
| WANG Ding-wei,YU Hai-bin.Immune-genetic algorithm and its application to introduction planning of new products[J].Control Theory and Technology,2002,19(5):725~730.[点击复制] |
|
| 免疫遗传算法及在新产品投入计划中的应用 |
| Immune-genetic algorithm and its application to introduction planning of new products |
| 摘要点击 1421 全文点击 1092 投稿时间：2000-11-21 修订日期：2001-05-31 |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| DOI编号 10.7641/j.issn.1000-8152.2002.5.013 |
| 2002,19(5):725-730 |
| 中文关键词 免疫系统 遗传算法 机器学习 新产品投入计划 半无限规划 约束优化 |
| 英文关键词 immune system genetic algorithms machine learning introduction planning of new products semi-infinite programming constrained optimization |
| 基金项目 国家自然科学基金(60084003,70171056); 沈阳市自然科学基金共同资助项目. |
|
| 中文摘要 |
| 提出一种新的求解复杂约束优化问题的免疫遗传算法. 算法首先产生大量抗原来训练抗体, 从而建立起一个具有自体和非自体识别能力的免疫系统. 将该免疫系统嵌入到遗传算法中, 即可在遗传过程中不经解码就能识别非法或不可行的染色体. 算法有效地改进了遗传算法求解复杂约束优化问题的性能. 算法用于求解用半无限规划模型描述的新产品投入计划问题, 获得了满意的结果. |
| 英文摘要 |
| To solve complex constrained optimization problems, we propose a new immune-genetic algorithm. It randomly produces a lot of antigens for production and training of antibodies. Then, an efficient immune system with the capability to recognize self and non-self antigens is consisted by these trained antibodies. We embed the immune system into genetic algorithm, and use it to identify the illegal and infeasible chromosomes in the genetic iterations. The recommended algorithm is able to improve the performance of GAs for complex constrained optimization problems. It has been applied into the new product introduction problem presented by a semi-infinite programming model. The satisfactory results have been achieved. |