Mohamed Din, Aniza and Ku-Mahamud, Ku Ruhana and Yusof, Yuhanis and Mahmuddin, Massudi (2012) Job shop rescheduling using a hybridization of genetic algorithm and artificial immune systems. In: 3rd International Soft Science Conference (ISSC) 2012, 6-8 November 2012, Phnom Penh City, Cambodia. (Unpublished)

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Abstract

This paper discusses on developing a hybrid model of genetic algorithm and artificial immune systems 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, also known as antibody, is assigned a fitness value for the selection of final population of best partial schedules.The results of the analysis are compared with a previous work. Future works on this study are also discussed.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	Organized by Universiti Utara Malaysia
Uncontrolled Keywords:	artificial immune systems, genetic algorithm, job shop scheduling
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	College of Arts and Sciences
Depositing User:	Prof. Dr. Ku Ruhana Ku Mahamud
Date Deposited:	10 Jan 2013 01:50
Last Modified:	21 Jan 2013 01:16
URI:	https://repo.uum.edu.my/id/eprint/6974

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