An adaptive immune genetic algorithm and its application
文献类型：会议论文
| 作者 | Shi G(石刚) ; Ma J(马佳); Jing YW(井元伟)
|
| 出版日期 | 2009 |
| 会议名称 | 2009 3rd International Conference on Teaching and Computational Science, WTCS 2009 |
| 会议日期 | December 19-20, 2009 |
| 会议地点 | Shenzhen, China |
| 关键词 | flexible job-shop scheduling problem immune genetic algorithm immune operator adaptive strategyvaccine |
| 页码 | 373-380 |
| 通讯作者 | 石刚 |
| 中文摘要 | To avoid premature and guarantee the diversity of the population, an adaptive immune genetic algorithm(AIGA) is proposed to solve these problems. In this method, the AIGA flow structure is presented via combining the immune regulating mechanism and the genetic algorithm. 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 flexible job-shop scheduling problem (FJSP). © 2012 Springer-Verlag Berlin Heidelberg. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议录 | Advances in Intelligent and Soft Computing
 |
| 会议录出版者 | SPRINGER-VERLAG |
| 会议录出版地 | BERLIN |
| 语种 | 英语 |
| ISSN号 | 1867-5662 |
| ISBN号 | 978-3-642-11276-8 |
| WOS记录号 | WOS:000310856800048 |
| 源URL | [http://ir.sia.cn/handle/173321/8318]  |
| 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 | Shi G,Ma J,Jing YW. An adaptive immune genetic algorithm and its application[C]. 见:2009 3rd International Conference on Teaching and Computational Science, WTCS 2009. Shenzhen, China. December 19-20, 2009. |
入库方式： OAI收割
来源：沈阳自动化研究所
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