NDLI: An intercell scheduling approach considering transportation capacity

Content Provider	IEEE Xplore Digital Library
Author	Miao Li Hong Zheng Dongni Li Xianwen Meng
Copyright Year	2014
Description	Author affiliation: Sch. of Comput. Sci. & Technol., Beijing Inst. Of Technol., Beijing, China (Miao Li; Hong Zheng; Dongni Li; Xianwen Meng)
Abstract	Intercell scheduling disrupts the cellular manufacturing philosophy of creating independent cells, but is essential for enterprises to reduce costs. Since intercell scheduling is in nature the coordination of intercell production and intercell transportation, the intercell scheduling problem is considered with transportation constraints in this paper. Hyper-heuristics are known for their computational efficiency but are lack in effectiveness since the candidate heuristic rules are usually manually set in advance. In this paper, a hybrid evolution-based hyper-heuristic algorithm is developed for the addressed intercell scheduling problem considering transportation capability. In order to improve the effectiveness of hyper-heuristics, genetic programming is introduced to generate new heuristic rules automatically based on the information of machines or vehicles, thus expanding the set of the candidate rules, and then, a rule selection genetic algorithm is developed to select appropriate rules from the obtained rule set, for the machines and vehicles, respectively. Finally, the scheduling solutions are generated according to the selected rules. The contribution of this work lies in (a) intercell transportation is considered in the intercell scheduling problem, and (b) heuristic generation is adopted in advance of the heuristic selection, constructing a more effective hyper-heuristic with both computation efficiency and optimization performance.
Starting Page	594
Ending Page	599
File Size	255602
Page Count	6
File Format	PDF
e-ISBN	9781479952830
DOI	10.1109/CoASE.2014.6899387
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-18
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Processor scheduling Job shop scheduling Sequential analysis Biological cells Indexes Transportation
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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