Combining Extended Imperialist Competitive Algorithm with a Genetic Algorithm to Solve the Distributed Integration of Process Planning and Scheduling Problem
Joint Authors
Zhang, Shuai
Zhang, Wenyu
Yu, Zhinan
Xu, Yangbing
Yu, Dejian
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-11-20
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Distributed integration of process planning and scheduling (DIPPS) extends traditional integrated process planning and scheduling (IPPS) by considering the distributed features of manufacturing.
In this study, we first establish a mathematical model which contains all constraints for the DIPPS problem.
Then, the imperialist competitive algorithm (ICA) is extended to effectively solve the DIPPS problem by improving country structure, assimilation strategy, and adding resistance procedure.
Next, the genetic algorithm (GA) is adapted to maintain the robustness of the plan and schedule after machine breakdown.
Finally, we perform a two-stage experiment to prove the effectiveness and efficiency of extended ICA and GA in solving DIPPS problem with machine breakdown.
American Psychological Association (APA)
Zhang, Shuai& Xu, Yangbing& Yu, Zhinan& Zhang, Wenyu& Yu, Dejian. 2017. Combining Extended Imperialist Competitive Algorithm with a Genetic Algorithm to Solve the Distributed Integration of Process Planning and Scheduling Problem. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1192754
Modern Language Association (MLA)
Zhang, Shuai…[et al.]. Combining Extended Imperialist Competitive Algorithm with a Genetic Algorithm to Solve the Distributed Integration of Process Planning and Scheduling Problem. Mathematical Problems in Engineering No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1192754
American Medical Association (AMA)
Zhang, Shuai& Xu, Yangbing& Yu, Zhinan& Zhang, Wenyu& Yu, Dejian. Combining Extended Imperialist Competitive Algorithm with a Genetic Algorithm to Solve the Distributed Integration of Process Planning and Scheduling Problem. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1192754
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1192754