Research on the Improved Dragonfly Algorithm-Based Flexible Flow-Shop Scheduling

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	Research on the Improved Dragonfly Algorithm-Based Flexible Flow-Shop Scheduling
	Han ZH(韩忠华)2,3,4,5; Zhang, Jingyuan 5; Lin S(林硕)5 ; Liu, Chunguang 1
	2019
会议日期	July 13-15, 2019
会议地点	Tianjin, China
关键词	Flexible flow-shop Limited buffer Dragonfly algorithm Simulating anneal
页码	205-214
英文摘要	Compared with the classic flexible flow shop, limited buffer flexible flow shop may have a limited buffer production blockage, which will increase the complexity and uncertainty of the scheduling process. In order to solve the limited-buffer flexible flow-shop scheduling problem (LBFFSP), a mathematical programming model of limited buffer flexible flow shop is established and an Improved Dragonfly Algorithm (IDA) is proposed to solves this problem. Based on the standard Dragonfly Algorithm (DA), the idea of Simulated Anneal (SA) is combined to improve the ability of the algorithm to jump out local extremum and the algorithm combines the standard Dragonfly Algorithm (DA) with the Simulated Anneal (SA) idea to improve the ability to jump out local extremum and improve its persistence.
产权排序	1
会议录	Proceedings of the 11th International Conference on Modelling, Identification and Control, ICMIC 2019
会议录出版者	Springer
会议录出版地	Berlin
语种	英语
ISSN号	1876-1100
ISBN号	978-981-15-0473-0
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/26137]
专题	沈阳自动化研究所_数字工厂研究室
通讯作者	Zhang, Jingyuan
作者单位	1.Editorial Department, Journal of Shenyang Jianzhu University, Shenyang, China 2.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China 3.Key Laboratory of Network Control System, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China 4.Department of Digital Factory, Shenyang Institute of Automation, The Chinese Academy of Sciences (CAS), Shenyang 110016, China 5.Faculty of Information and Control Engineering, Shenyang Jianzhu University, Shenyang, Liaoning 110168, China
推荐引用方式 GB/T 7714	Han ZH,Zhang, Jingyuan,Lin S,et al. Research on the Improved Dragonfly Algorithm-Based Flexible Flow-Shop Scheduling[C]. 见:. Tianjin, China. July 13-15, 2019.