DocumentCode :
1637081
Title :
An efficient scatter search algorithm for minimizing earliness and tardiness penalties in a single-machine scheduling problem with a common due date
Author :
Talebi, J. ; Badri, H. ; Ghaderi, F. ; Khosravian, E.
Author_Institution :
Dept. of Ind. Eng., Univ. of Tehran, Tehran
fYear :
2009
Firstpage :
1012
Lastpage :
1018
Abstract :
Since the just-in-time (JIT) problems have special importance in the real world, various methods have been developed by researchers to solve this kind of problem more precisely and in a minimal possible time. Most of JIT problems are NP-hard, thus many of these methods have been created based on metaheuristics. In this paper the single-machine scheduling problem with a common due date is considered in which performance is measured by the minimization of the sum of earliness and tardiness penalties of the jobs. Here we use a solving method based on scatter search metaheuristic in which the features of optimal solution of single machine minimization are utilized appropriately. The proposed approach is examined through a computational comparative study with 280 benchmark problems with up to 1000 jobs. In addition to having a good solution time, we got new upper bounds in our numerical examples using proposed method.
Keywords :
job shop scheduling; just-in-time; minimisation; search problems; single machine scheduling; NP-hard problem; common due date; earliness penalty minimization; job shop scheduling; just-in-time; metaheuristics; scatter search algorithm; single-machine scheduling; tardiness penalty minimization; Computational modeling; Costs; Electrostatic discharge; Optimal scheduling; Processor scheduling; Scattering; Scheduling algorithm; Simulated annealing; Single machine scheduling; Upper bound;
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.2009.4983056
Filename :
4983056
Link To Document :
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