An Adaptive Immune Genetic Algorithm and Its Application for FJSP
文献类型：会议论文
| 作者 | Ma J(马佳); Zhu YL(朱云龙) ; Shi G(石刚)
|
| 出版日期 | 2010 |
| 会议名称 | 2010 4th Intemational Conference on Intelligent Information Technology Application |
| 会议日期 | November 5-7, 2010 |
| 会议地点 | Qinghuangdao, China |
| 关键词 | flexible job-shop scheduling problem immune genetic algorithm adaptive strategyvaccine |
| 页码 | 177-180 |
| 中文摘要 | This paper presents a kind of adaptive immune genetic algorithm(AIGA) to deal with flexible job-shop scheduling problem. This algorithm adopts the immune operator and adaptive regulation strategy to improve greatly the diversity of antibodies population. Experimental results showed that the proposed AIGA can rise above efficiently such difficulties of SGA as precocious convergence and poor local search ability and provide well the global converging ability to enhance both global convergency and convergence rate, thus solving effectively the FJSP problem. the diversity of antibodies population. |
| 产权排序 | 1 |
| 会议主办者 | IEEE |
| 会议录 | 2010 4th Intemational Conference on Intelligent Information Technology Application
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | Piscataway, NJ |
| 语种 | 英语 |
| ISBN号 | 978-1-4244-8466-9 |
| 源URL | [http://ir.sia.cn/handle/173321/8319]  |
| 专题 | 沈阳自动化研究所_工业信息学研究室 |
| 推荐引用方式 GB/T 7714 | Ma J,Zhu YL,Shi G. An Adaptive Immune Genetic Algorithm and Its Application for FJSP[C]. 见:2010 4th Intemational Conference on Intelligent Information Technology Application. Qinghuangdao, China. November 5-7, 2010. |
入库方式： OAI收割
来源：沈阳自动化研究所
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