DocumentCode
1634482
Title
Minimizing total flow time in permutation flow shop scheduling with improved simulated annealing
Author
Chakraborty, Uday K.
Author_Institution
Dept. of Math & Comput. Sci., Univ. of Missouri, St. Louis, MO
fYear
2009
Firstpage
158
Lastpage
165
Abstract
For the past two decades simulated annealing has been playing a crucial role in the design of optimization strategies for flow shop scheduling applications. This paper presents an efficient simulated annealing algorithm for minimizing the total flow time in permutation flow shop scheduling problems. Empirical results demonstrate the improvement in solution quality obtained by the proposed approach over state-of-the-art methods in the literature.
Keywords
flow shop scheduling; minimisation; simulated annealing; flow time minimisation; optimization strategy; permutation flow shop scheduling; simulated annealing; Computer science; Design optimization; Job design; Job shop scheduling; Processor scheduling; Production control; Production planning; Production systems; Scheduling algorithm; Simulated annealing;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2009. CEC '09. IEEE Congress on
Conference_Location
Trondheim
Print_ISBN
978-1-4244-2958-5
Electronic_ISBN
978-1-4244-2959-2
Type
conf
DOI
10.1109/CEC.2009.4982943
Filename
4982943
Link To Document