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Employee Scheduling based on Particle Swarm Optimization Algorithm and its Variation
by
Sonal Y. Sangale
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 145 - Number 11 |
| Year of Publication: 2016 |
| Authors: Sonal Y. Sangale |
10.5120/ijca2016910809
|
Sonal Y. Sangale . Employee Scheduling based on Particle Swarm Optimization Algorithm and its Variation. International Journal of Computer Applications. 145, 11 ( Jul 2016), 26-29. DOI=10.5120/ijca2016910809
@article{
10.5120/ijca2016910809,
author = {
Sonal Y. Sangale
},
title = { Employee Scheduling based on Particle Swarm Optimization Algorithm and its Variation },
journal = {
International Journal of Computer Applications
},
issue_date = { Jul 2016 },
volume = { 145 },
number = { 11 },
month = { Jul },
year = { 2016 },
issn = { 0975-8887 },
pages = {
26-29
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume145/number11/25323-2016910809/
},
doi = { 10.5120/ijca2016910809 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:48:32.232069+05:30
%A Sonal Y. Sangale
%T Employee Scheduling based on Particle Swarm Optimization Algorithm and its Variation
%J International Journal of Computer Applications
%@ 0975-8887
%V 145
%N 11
%P 26-29
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Scheduling problems are multi-constrained and NP-Hard problems. This paper deals with the faculty assignment problem. Objective of this paper is to assign the faculty to exam halls. This problem is tested on real world dataset from Rajarambapu institute of technology. This paper attempts to solve the problem by using particle swarm optimization algorithm and its variation and analysis of both approaches are shown.
References
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Index Terms
Computer Science
Information Sciences
Keywords