Title :
Fuzzy blocks in genetic algorithm for the flow shop problem
Author :
W. Bozejko;Z. Hejducki;M. Wodecki
Author_Institution :
Institute of Computer Engineering, Control and Robotics, Wroclaw University of Technology, Poland
Abstract :
In this paper we propose a very effective method of construct genetic algorithms for the problems with fuzzy data. We apply block properties, which enable the inter-island genetic operator to distribute calculations and use local search process apart of classic operators. The method proposed here is applied to realization of the construction object.
Keywords :
"Genetic algorithms","Job shop scheduling","Stability analysis","Scheduling","Processor scheduling","Stability criteria","Distance measurement"
Conference_Titel :
Human System Interactions, 2008 Conference on
Print_ISBN :
978-1-4244-1542-7
Electronic_ISBN :
2158-2254
DOI :
10.1109/HSI.2008.4581548