Title :
Particle swarm optimization under fuzzy logic controller for solving a hybrid Reentrant Flow Shop problem
Author :
Yalaoui, Naim ; Amodeo, Lionel ; Yalaoui, Farouk ; Mahdi, Halim
Author_Institution :
ICD-LOSI, Univ. of Technol. of Troyes, Troyes, France
Abstract :
Our study aims to solve a hybrid flow shop scheduling problem. This one has a specification which is: it contains different stages in series, each one is composed of some identical parallel machines, each order is composed of several batches and some ones are re-entrant. The objective function of this problem is to minimize the total tardiness. A new method is developed to solve the problem based on the Nature which is the particle swarm optimization method under fuzzy logic controller (FLCPSO). This one is compared to another modified Particle Swarm Optimization developed by us in previous works. The results are very interesting.
Keywords :
flow shop scheduling; fuzzy control; particle swarm optimisation; fuzzy logic controller; hybrid flow shop reentrant scheduling problem; parallel machines; particle swarm optimization; total tardiness; Approximation algorithms; Fuzzy logic; Genetic algorithms; Job shop scheduling; Machinery production industries; Minimization methods; Parallel machines; Particle swarm optimization; Scheduling algorithm; Sun;
Conference_Titel :
Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), 2010 IEEE International Symposium on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-6533-0
DOI :
10.1109/IPDPSW.2010.5470696
