NDLI: Electromagnetism Metaheuristic Applied to the Problem of Scheduling in FSHs

Content Provider	IEEE Xplore Digital Library
Author	Zerrouki, K. Belkadi, K. Benyettou, M.
Copyright Year	2009
Abstract	The métaheuristic are approximate methods which deal with difficult optimization problems. Work that we present in this paper has primarily as an objective of presented the adaptation and the implementation of one of advanced metaheuristic which is the Electromagnetism Metaheuristic (EM) applied to the systems of production of the type Hybrid Flow Shop (FSHs) for the scheduling and the assignment problem. Electromagnetism Metaheuristic is a recent method of optimization which takes its inspiration in the electromagnetic law (attraction and repulsion) of Coulomb on the charged particles. For this metaheuristic, we will start by presenting his general principle, its principle algorithm, its most important main features and parameters like its scopes of application. We will propose then an adaptation of this method to the discrete case on the scheduling problems of the production systems of the type Hybrid Flow Shop (FSHs). We present then the comparison between the metaheuristics (Genetic Algorithms (GA) and Particle Swarm Optimization method (PSO)), and the hybrid metaheuristic (Electromagnetism Metaheuristic EM) applied to the same FSHs problem. Finally we will present the results obtained by this method (EM) applied to FSHs for the two problems: scheduling and assignment.
Starting Page	667
Ending Page	671
File Size	316456
Page Count	5
File Format	PDF
ISBN	9780769535913
DOI	10.1109/ICFCC.2009.12
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-04-03
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Production systems Hybrid Flow Shop (FSH) Job shop scheduling Flow production systems Optimization methods Electromagnetism Metaheuristic (EM) Scheduling Proposals Particle swarm optimization Optimization Genetic algorithms Constraint optimization Processor scheduling Polynomials Hybrids Metaheuristics
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
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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