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A hybrid metaheuristic model for job shop rescheduling problem


Mohamed Din, Aniza and Ku-Mahamud, Ku Ruhana and Yusof, Yuhanis and Mahmuddin, Massudi (2012) A hybrid metaheuristic model for job shop rescheduling problem. In: International Conference on Computer and Information Sciences, 12-14 June 2012, Kuala Lumpur, Malaysia. (Unpublished)

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Abstract

This paper discusses on developing a hybrid metaheuristic model to tackle the problem of changing environment in the job shop scheduling problem.The main idea is to use the model to develop building blocks of partial schedules that can be used to provide backup solutions when disturbances occur during production.Each partial schedule is assigned a fitness value for the selection of final population of best partial schedules.The results of the experiments show an improvement from a previous work. Future work on this study is also discussed.

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN: 978-1-61804-148-7
Uncontrolled Keywords: artificial immune systems, genetic algorithm, simulated annealing, great deluge, job shop scheduling, metaheuristic
Subjects: T Technology > T Technology (General)
Divisions: College of Arts and Sciences
Depositing User: Prof. Dr. Ku Ruhana Ku Mahamud
Date Deposited: 10 Jan 2013 01:39
Last Modified: 27 Oct 2013 01:39
URI: http://repo.uum.edu.my/id/eprint/6977

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