NDLI: CPU task scheduling using genetic algorithm

Content Provider	IEEE Xplore Digital Library
Author	Kaur, A. Khehra, B.S.
Copyright Year	2015
Description	Author affiliation: Comput. Sci. & Eng., BBSBEC, Fatehgarh Sahib, India (Kaur, A.; Khehra, B.S.)
Abstract	This paper addresses p-processes single processor scheduling problem with a common deadline, to minimize the total execution time and reduce the penalty costs. Process scheduling is one of the most essential factor on which the efficiency and the performance of the work done by the CPU depends. Earliness and tardiness of the processes degrades the efficiency of the processor as they carry penalty costs with them. Thus, the scheduling problem of minimizing the total sum of earliness and tardiness with a common deadline on a single processor is important and competitive. Scheduling is particularly one of the subset of combinatorial optimization problems, which are in fact NP-Hard problems. This problem can be solved using heuristic and meta-heuristic approach such as genetic algorithm for optimal results. In the experiment performed, the Genetic Algorithm outperforms the results in comparison with a simple heuristic method.
Starting Page	66
Ending Page	71
File Size	2011376
Page Count	6
File Format	PDF
e-ISBN	9781467367479
DOI	10.1109/MITE.2015.7375290
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-01
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Job shop scheduling Deadline CPU Scheduling Combinatorial optimization Statistics Tardiness Biological cells Genetic algorithms NP-Hard Processor scheduling Sociology Genetic algorithm Earliness Single processor
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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