Abdelkrim HOUACINE

Work place: Signal Image Laboratory, Department of Electronics, Faculty of Electrical Engineering, University of Science and Technology, P.O. Box 1505, El M’Naouer, Oran, Algeria

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Research Interests: Computational Science and Engineering, Network Architecture, Data Structures and Algorithms

Biography

A.HOUACINE was born in Algeria. He received the Master in computer science in 2011 from the Science and Technology University in Oran.

He is working toward the Ph.D. degree.

His current research interests Meta heuristics, parallelism and vehicular Network applications.

Author Articles
Hybrid Flow Shop Scheduling Problem Using Artificial Immune System

By Mustapha GUEZOURI Abdelkrim HOUACINE

DOI: https://doi.org/10.5815/ijisa.2012.10.09, Pub. Date: 8 Sep. 2012

Artificial immune system (AIS) is a new technique for solving combinatorial optimization problems. AIS are computational systems that explore, describe and apply different mechanisms inspired by biological immune system in order to solve problems in different domains. In this paper, we propose an algorithm based on the principle of clonal selection and affinity maturation mechanism in an immune response used to solve the Hybrid Flow Shop (FSH) scheduling problem. The parameters in this kind of algorithm play an important role in the quality of solutions in one hand and computer time (CPU) needed another hand. The experimental results have shown the influence of these parameters.

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