NDLI: Using Genetic Algorithm in the Multiprocessor Flow Shop to Minimize the Makespan

Content Provider	IEEE Xplore Digital Library
Author	Besbes, W. Loukil, T. Teghem, J.
Copyright Year	2006
Description	Author affiliation: Faculte des Sci. Economiques et de Gestion (Besbes, W.; Loukil, T.)
Abstract	In this paper, we consider the k-stage multiprocessor flow shop scheduling problem. Our study aims to provide a good approximate solution to this specific problem with the makespan minimization $(C_{max})$ as the objective function. Considering, the success of the genetic algorithms developed for scheduling problems, we apply this metaheuristic to tackle with this problem. We develop a genetic algorithm with a new crossover operator which is a combination between the SJOX crossover operator proposed by Ruiz and Maroto (2006) and the NXO crossover operator proposed by Oguz and Ercan (2005). The design of our genetic algorithm is different compared to the classical structure of the genetic algorithm especially in the encoding of solutions. For the calibration of our metaheuristic's parameters, we conduct several experimental designs. Our algorithm is tested with benchmark problems presented. The results show that the proposed genetic algorithm is an efficient approach for solving the multiprocessor flow shop problem
Starting Page	1228
Ending Page	1233
File Size	6558680
Page Count	6
File Format	PDF
ISBN	1424404509
DOI	10.1109/ICSSSM.2006.320684
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-25
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Job shop scheduling Parallel machines Design for experiments Encoding Calibration Genetic algorithms genetic algorithm Processor scheduling Simulated annealing scheduling multiprocessor flow shop Testing
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in