An Adaptive Multi-population Artificial Bee Colony Algorithm for Multi-objective Flexible Job Shop Scheduling Problem
文献类型：会议论文
| 作者 | Cao Y(曹阳)1,2,3,4,5,6 ; Shi HB(史海波)2,3,5
|
| 出版日期 | 2019 |
| 会议日期 | June 3-5, 2019 |
| 会议地点 | Nanchang, China |
| 关键词 | multi-objective flexible job shop scheduling problem artificial bee colony algorithm multiple subpopulation |
| 页码 | 3822-3827 |
| 英文摘要 | In this paper, we propose a novel artificial bee colony algorithm for solving the multi-objective flexible job shop scheduling problem. In this algorithm, the whole population is divided into multiple subpopulations at each generation, and the size of each subpopulation is adaptively adjusted based on the information derived from its search results. Furthermore, the two mutation strategies implemented in the differential evolution algorithm are embedded in the proposed algorithm to facilitate the exchange of information in each subpopulation and between different subpopulations, respectively. Experimental results on the well-known benchmark multi-objective problems show that the improvements of the strategies are positive and that the proposed algorithm is better than or at least competitive to some previous multi-objective evolutionary algorithms. |
| 产权排序 | 1 |
| 会议录 | Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-7281-0105-7 |
| WOS记录号 | WOS:000555859004012 |
| 源URL | [http://ir.sia.cn/handle/173321/25781]  |
| 专题 | 沈阳自动化研究所_数字工厂研究室 |
| 通讯作者 | Cao Y(曹阳) |
| 作者单位 | 1.College of Information Science and Engineering, Northeastern University, Shenyang 110819, China 2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China 4.University of Chinese Academy of Sciences, Beijing 100049, China 5.Key Laboratory of Network Control System, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China 6.Information and Control Engineering Faculty, Shenyang Jianzhu University, Shenyang, Liaoning 110168, China |
| 推荐引用方式 GB/T 7714 | Cao Y,Shi HB. An Adaptive Multi-population Artificial Bee Colony Algorithm for Multi-objective Flexible Job Shop Scheduling Problem[C]. 见:. Nanchang, China. June 3-5, 2019. |
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。