DocumentCode :
2578111
Title :
Job scheduling on parallel machines using simulated annealing
Author :
Lo, Zhen-Ping ; Bavarian, Behnam
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Irvine, CA, USA
fYear :
1991
fDate :
13-16 Oct 1991
Firstpage :
391
Abstract :
The authors consider the problem of scheduling a set of simultaneously available jobs on several parallel machines. Specifically, the minimization of the time to finish all the jobs assigned to all machines of scheduling sequence under job deadline constraints for the n jobs, m machines problem is formulated. The simulated annealing and fast simulated annealing algorithms are reviewed and adopted for the scheduling problem. A large number of simulations were carried out which provides an empirical basis for comparing the application of classical simulated annealing and fast simulated annealing algorithms to the scheduling problem
Keywords :
minimisation; production control; simulated annealing; job deadline constraints; job scheduling; parallel machines; production control; simulated annealing; Computational modeling; Differential equations; Integer linear programming; Parallel machines; Processor scheduling; Scheduling algorithm; Simulated annealing; Switches; Timing; Uninterruptible power systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1991. 'Decision Aiding for Complex Systems, Conference Proceedings., 1991 IEEE International Conference on
Conference_Location :
Charlottesville, VA
Print_ISBN :
0-7803-0233-8
Type :
conf
DOI :
10.1109/ICSMC.1991.169716
Filename :
169716
Link To Document :
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