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Reseach Article

Optimization of Multiprocessor Scheduling using Genetic Algorithm

by Poonam Panwar, Shreya Chauhan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 78 - Number 4
Year of Publication: 2013
Authors: Poonam Panwar, Shreya Chauhan
10.5120/13475-1161

Poonam Panwar, Shreya Chauhan . Optimization of Multiprocessor Scheduling using Genetic Algorithm. International Journal of Computer Applications. 78, 4 ( September 2013), 6-9. DOI=10.5120/13475-1161

@article{ 10.5120/13475-1161,
author = { Poonam Panwar, Shreya Chauhan },
title = { Optimization of Multiprocessor Scheduling using Genetic Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { September 2013 },
volume = { 78 },
number = { 4 },
month = { September },
year = { 2013 },
issn = { 0975-8887 },
pages = { 6-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume78/number4/13475-1161/ },
doi = { 10.5120/13475-1161 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:50:43.494673+05:30
%A Poonam Panwar
%A Shreya Chauhan
%T Optimization of Multiprocessor Scheduling using Genetic Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 78
%N 4
%P 6-9
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Multiprocessor architectures are becoming more attractive for embedded systems, primarily because major processor manufacturers like Intel and AMD are designing cost effective processors even for personal computers and laptops. This makes such architectures very desirable for embedded system applications with high computational workloads, where additional, cost-effective processing capacity is often needed. This increased usage of multiprocessor attracted the researchers for multiprocessor scheduling problems. Multiprocessor scheduling is a NP hard problem. In this paper a Genetic Algorithm (GA) based multiprocessor scheduling algorithm is proposed whose implementation is simple and the obtained results are optimal for the studied set of problems.

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Index Terms

Computer Science
Information Sciences

Keywords

Multiprocessor Architecture Multiprocessor Scheduling NP Hard Genetic Algorithm