DocumentCode :
646551
Title :
Optimization of task processing on parallel processors with learning abilities
Author :
Rudek, Radoslaw ; Rudek, Agnieszka ; Kozik, A. ; Skworcow, Piotr
Author_Institution :
Wroclaw Univ. of Econ., Wrocław, Poland
fYear :
2013
fDate :
26-29 Aug. 2013
Firstpage :
544
Lastpage :
547
Abstract :
In this paper, we analyse the two identical parallel processor makespan minimization problem with the learning effect, which is modelled by position dependent job/task processing times. We construct an exact pseudopolynomial time algorithm for the considered problem that takes into consideration the learning ability of the processors. Moreover, we analyse the efficiency of the exact algorithm dedicated for the classical problem with constant job/task processing times, if it is used to provide a schedule of jobs/tasks for the learning system.
Keywords :
computational complexity; minimisation; parallel processing; resource allocation; exact pseudopolynomial time algorithm; learning effect; learning system; makespan minimization problem; parallel processors; position dependent job processing times; task processing optimization; Algorithm design and analysis; Dynamic programming; Heuristic algorithms; Job shop scheduling; Processor scheduling; Program processors; Schedules;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Methods and Models in Automation and Robotics (MMAR), 2013 18th International Conference on
Conference_Location :
Miedzyzdroje
Print_ISBN :
978-1-4673-5506-3
Type :
conf
DOI :
10.1109/MMAR.2013.6669969
Filename :
6669969
Link To Document :
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