Immune genetic algorithm for flexible job-shop scheduling problem
文献类型：会议论文
| 作者 | Ma J(马佳); Zhu YL(朱云龙) ; Shi G(石刚)
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| 出版日期 | 2010 |
| 会议名称 | 2010 IEEE International Conference on Automation and Logistics (ICAL) |
| 会议日期 | August 16-20, 2010 |
| 会议地点 | Hong Kong and Macau, China |
| 关键词 | FJSP resource constrained immune genetic algorithm immune operator |
| 页码 | 486-9 |
| 中文摘要 | An kind of immune genetic algorithm(IGA) is proposed for solving the flexible job-shop scheduling problem(FJSP). Based on the globalsearching method of classic genetic algorithm (SG), and using the diversity preservation strategy of antibodies in biology immunity mechanism, the method greatly improves the colony diversity of GA and compared to genetic algorithm. The results show that immune genetic algorithm performs better in aspect of global and local search ability and search speed. |
| 收录类别 | EI |
| 产权排序 | 1 |
| 会议录 | 2010 IEEE International Conference on Automation and Logistics (ICAL)
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | Piscataway, NJ, USA |
| 语种 | 英语 |
| ISBN号 | 978-1-4244-8375-4 |
| 源URL | [http://ir.sia.cn/handle/173321/8361]  |
| 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. Immune genetic algorithm for flexible job-shop scheduling problem[C]. 见:2010 IEEE International Conference on Automation and Logistics (ICAL). Hong Kong and Macau, China. August 16-20, 2010. |
入库方式： OAI收割
来源：沈阳自动化研究所
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