DocumentCode :
3392764
Title :
Solving the Flexible Open-Job Shop Scheduling Problem with GRASP and Simulated Annealing
Author :
Witkowski, Tadeusz ; Antczak, Pawel ; Antczak, Arkadiusz
Author_Institution :
Warsaw Univ. of Technol., Warsaw, Poland
Volume :
2
fYear :
2010
fDate :
23-24 Oct. 2010
Firstpage :
437
Lastpage :
442
Abstract :
In the paper the flexible open - job shop scheduling problem FOJSP (an extension of the classical job shop scheduling) is analyzed. For the optimization of the production process to make span the GRASP and Simulated Annealing algorithms have been used. Different “open” rates have been considered and compared. The presented algorithms have been implemented, tested, and illustrated with examples for serial and parallel routes.
Keywords :
job shop scheduling; search problems; simulated annealing; GRASP; flexible open job shop scheduling; greedy randomized adaptive search procedure; optimization; production process; simulated annealing; Adaptation model; Approximation algorithms; Computational modeling; Job shop scheduling; Schedules; Simulated annealing; GRASP; makespan; metaheuristic; open job shop; simulated annealing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8432-4
Type :
conf
DOI :
10.1109/AICI.2010.212
Filename :
5655185
Link To Document :
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