Title :
Modified Adaptive Genetic Algorithm for Flexible Job-shop Scheduling Problem
Author :
Yaoqun, Xu ; Wenjian, Wei
Author_Institution :
Sch. of Manage., Harbin Univ. of Commerce, Harbin, China
Abstract :
In this paper, we present a Modified Adaptive Genetic Algorithm (MAGA) for Flexible Job-Scheduling Problem (FJSP), a simulation model is presented to solve the FJSP. The proposed model has been coded by Matlab which is a special mathematical computation language. After modeling the pending problem, the model is validated by a representative instances based on practical data. The result obtained from the computational study has shown that the proposed approach is a feasible and effective approach for the FJSP.
Keywords :
genetic algorithms; job shop scheduling; flexible job-shop scheduling; modified adaptive genetic algorithm; Job-shop Dynamic Scheduling; League Selection; Modified Adaptive Genetic Algorithm; Self-Adaptation Fitness Function;
Conference_Titel :
Future Information Technology and Management Engineering (FITME), 2010 International Conference on
Conference_Location :
Changzhou
Print_ISBN :
978-1-4244-9087-5
DOI :
10.1109/FITME.2010.5655810
