Event-driven dynamic job shop scheduling execution based on improved Genetic Algorithm and Ontology

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 工业控制网络与系统研究室

	Event-driven dynamic job shop scheduling execution based on improved Genetic Algorithm and Ontology
	Cheng HB(程海波); Xue LL(薛玲玲); Wang P(王鹏); Zeng P(曾鹏); Yu HB(于海斌)
	2017
会议名称	2017 Chinese Automation Congress (CAC2017) & China Intelligent Manufacturing International Conference (CIMIC2017)
会议日期	October 20-22, 2017
会议地点	Jinan, China
关键词	dynamic job shop scheduling problems improved genetic algorithm ontology module
页码	6430-6435
通讯作者	Xue LL(薛玲玲)
中文摘要	This paper proposes an improved Genetic Algorithm (IGA}-combined with ontology module to sol\'c dynamic job shop scheduling problem (DJSSP). The objective function of this scheduling problem is to minimize a weighted sum method of maximum complete time (makespan) and mean waiting time to periodically plan production. This scheduling method is applied to a flexible manufacturing system. A reschedule strategy is utilized to solve dynamic disturbances happened during manufacturing process. Experimental results show that schedule can be repaired efficiently and correctly without obviously affecting the scheduling.
收录类别	EI ; CPCI（ISTP）
产权排序	1
会议录	2017 Chinese Automation Congress (CAC2017) & China Intelligent Manufacturing International Conference (CIMIC2017)
会议录出版者	IEEE
会议录出版地	New York
语种	英语
ISBN号	978-1-5386-3524-7
WOS记录号	WOS:000427816106093
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/21327]
专题	沈阳自动化研究所_工业控制网络与系统研究室
作者单位	1.University of Chinese Academy of Sciences, Beijing 100049, China 2.Lab. of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
推荐引用方式 GB/T 7714	Cheng HB,Xue LL,Wang P,et al. Event-driven dynamic job shop scheduling execution based on improved Genetic Algorithm and Ontology[C]. 见:2017 Chinese Automation Congress (CAC2017) & China Intelligent Manufacturing International Conference (CIMIC2017). Jinan, China. October 20-22, 2017.