中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Flexible job-shop scheduling/rescheduling in dynamic environment: a hybrid MAS/ACO approach

文献类型:期刊论文

作者Zhang, Sicheng1; Wong, Tak Nam2
刊名INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
出版日期2017
卷号55期号:11页码:3173-3196
关键词dynamic scheduling multi-agent systems ant colony optimisation flexible job-shop job-shop scheduling
ISSN号0020-7543
DOI10.1080/00207543.2016.1267414
英文摘要In real-world manufacturing, disruptions are often encountered during the execution of a predetermined schedule, leading to the degradation of its optimality and feasibility. This study presents a hybrid approach for flexible job-shop scheduling/rescheduling problems under dynamic environment. The approach, coined as HMA' is a combination of multi-agent system (MAS) negotiation and ant colony optimisation (ACO). A fully distributed MAS structure has been constructed to support the solution-finding process by negotiation among the agents. The features of ACO are introduced into the negotiation mechanism in order to improve the performance of the schedule. Experimental studies have been carried out to evaluate the performance of the approach for scheduling and rescheduling under different types of disruptions. Different rescheduling policies are compared and discussed. The results have shown that the proposed approach is a competitive method for flexible job-shop scheduling/rescheduling for both schedule optimality and computation efficiency.
资助项目Research Grants Council of Hong Kong[HKU 718809E]
WOS研究方向Engineering ; Operations Research & Management Science
语种英语
WOS记录号WOS:000400004400011
出版者TAYLOR & FRANCIS LTD
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/26068]  
专题中国科学院数学与系统科学研究院
通讯作者Zhang, Sicheng
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, Natl Ctr Math & Interdisciplinary Sci, Beijing, Peoples R China
2.Univ Hong Kong, Dept Ind & Mfg Syst, Hong Kong, Hong Kong, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Sicheng,Wong, Tak Nam. Flexible job-shop scheduling/rescheduling in dynamic environment: a hybrid MAS/ACO approach[J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH,2017,55(11):3173-3196.
APA Zhang, Sicheng,&Wong, Tak Nam.(2017).Flexible job-shop scheduling/rescheduling in dynamic environment: a hybrid MAS/ACO approach.INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH,55(11),3173-3196.
MLA Zhang, Sicheng,et al."Flexible job-shop scheduling/rescheduling in dynamic environment: a hybrid MAS/ACO approach".INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 55.11(2017):3173-3196.

入库方式: OAI收割

来源:数学与系统科学研究院

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。