Title :
The Application of Rule-Based Genetic Algorithm in Job-Shop Production Scheduling
Author :
Zhang, Changshuan ; Tu, Haining
Author_Institution :
Coll. of Mech. Eng., Nanchang Univ., Nanchang, China
Abstract :
The boiler´s processing and assembling shop was taken as the reality physical model in this paper, from which the general job-shop production workshop was abstracted as the simplified model and the scheduling algorithms of job-shop production workshop was lucubrated. Firstly, the model of job-shop production workshop was established; secondly, the scheduling theory and algorithms of production workshop was researched, the optimized goal of reducing component´ s completion time was set up, and the scheduling algorithm conformed to workshop production scheduling was explored; lastly, compound rule-based genetic algorithm was proposes.
Keywords :
genetic algorithms; job shop scheduling; job-shop production scheduling; rule-based genetic algorithm; scheduling algorithm; scheduling theory; workshop production scheduling; Boilers; Educational institutions; Genetic algorithms; Heuristic algorithms; Job production systems; Job shop scheduling; Manufacturing; Mathematical model; Mechanical engineering; Scheduling algorithm; Job-shop production; genetic algorithms; workshop production scheduling;
Conference_Titel :
Computing, Control and Industrial Engineering (CCIE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-4026-9
DOI :
10.1109/CCIE.2010.123