Volume 6 Number 1 (Feb. 2014)
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IJCEE 2014 Vol.6 (1): 44-48 ISSN: 1793-8163
DOI: 10.7763/IJCEE.2014.V6.791

Towards a Software Factory for Genetic Algorithms

Abdelghani Alidra and Mohamed Tahar Kimour
Abstract—Genetic algorithms (GA) are a class of powerful metaheuristic search methods that solve complex and highly nonlinear problems. However, reuse opportunities have been underexploited because reuse was made at the code level. We argue that this is inefficient because it is complex and error prone. At the opposite, we propose the use of Software Product Lines engineering (SPLE) because it offers an effective way to easily manage commonalities at the model level and efficiently customize and derive a relevant product from a family of products. Another important feature of our approach is that it opens the door to the exploitation of dynamic Software product line techniques for dynamically evolving a genetic algorithm during execution.

Index Terms—Genetic algorithms, reuse, software engineering, software product line, software factory.

A. Alidra is with the computer science department, 20th August 1955 University - Skikda, Algeria (e-mail: alidrandco@yahoo.fr).
M. T. Kimour is with LASE Laboratory, Badji Mokhtar-Annaba university, Algeria (e-mail: mtkimour@hotmail.fr).

 

Cite:Abdelghani Alidra and Mohamed Tahar Kimour, "Towards a Software Factory for Genetic Algorithms," International Journal of Computer and Electrical Engineering vol. 6, no.1, pp. 44-48, 2014.

General Information

ISSN: 1793-8163 (Print)
Abbreviated Title: Int. J. Comput. Electr. Eng.
Frequency: Quarterly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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