International Journal of Intelligent Systems and Applications(IJISA)

ISSN: 2074-904X (Print), ISSN: 2074-9058 (Online)

Published By: MECS Press

IJISA Vol.4, No.10, Aug. 2017

Hybrid Flow Shop Scheduling Problem Using Artificial Immune System

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Mustapha GUEZOURI, Abdelkrim HOUACINE

Index Terms

Artificial Immune System;Hybrid Flow Shop;Combinatorial Optimization


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.

Cite This Paper

Mustapha GUEZOURI, Abdelkrim HOUACINE,"Hybrid Flow Shop Scheduling Problem Using Artificial Immune System", International Journal of Intelligent Systems and Applications(IJISA), vol.4, no.10, pp.82-88, 2012. DOI: 10.5815/ijisa.2012.10.09


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