An application of 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) ; Wang TR(王天然)
|
| 出版日期 | 2010 |
| 会议名称 | 2010 International Conference on Computer Application and System Modeling (ICCASM 2010) |
| 会议日期 | October 22-24, 2010 |
| 会议地点 | Taiyuan, China |
| 关键词 | flexible job-shop scheduling problem scheduling immune genetic algorithm immune operator Abstract vaccin |
| 页码 | 461-464 |
| 中文摘要 | The flexible job-shop scheduling problem (FJSP) is one of the most general and difficult of all traditional scheduling problem. The paper presents a novelty immune genetic algorithm (IGA) to solve the problem. This algorithm preserves the random global search ability of simple genetic algorithm (SGA), and introduces the immune mechanism by which the necessary vaccine may be extracted with the scheduling vaccinated so as to improve efficiently SGA's low ability for global search because of immature convergence and low local search ability. Thus, the IGA proposed can provide such ability and convergence rate that will implement the global optimum solution. The computation results validate the effectiveness of the proposed algorithm . |
| 收录类别 | EI |
| 产权排序 | 1 |
| 会议录 | 2010 International Conference on Computer Application and System Modeling (ICCASM 2010)
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | Piscataway, NJ, USA |
| 语种 | 英语 |
| ISBN号 | 978-1-4244-7235-2 |
| 源URL | [http://ir.sia.cn/handle/173321/8322]  |
| 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,Wang TR. An application of immune genetic algorithm for flexible job-shop scheduling problem[C]. 见:2010 International Conference on Computer Application and System Modeling (ICCASM 2010). Taiyuan, China. October 22-24, 2010. |
入库方式： OAI收割
来源：沈阳自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。