The University of Southampton
University of Southampton Institutional Repository

Real Coded Genetic Algorithm Compared to the Classical Method of Fast Fourier Transform in Harmonics Analysis

Real Coded Genetic Algorithm Compared to the Classical Method of Fast Fourier Transform in Harmonics Analysis
Real Coded Genetic Algorithm Compared to the Classical Method of Fast Fourier Transform in Harmonics Analysis
Zamanan, N.
488644a9-a2ca-41b7-a22d-9e7ea214748f
Sykulski, J.K.
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb
Al-Othman, A.K.
379d9a42-bbfd-4b35-ab59-bafda6441f35
Zamanan, N.
488644a9-a2ca-41b7-a22d-9e7ea214748f
Sykulski, J.K.
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb
Al-Othman, A.K.
379d9a42-bbfd-4b35-ab59-bafda6441f35

Zamanan, N., Sykulski, J.K. and Al-Othman, A.K. (2006) Real Coded Genetic Algorithm Compared to the Classical Method of Fast Fourier Transform in Harmonics Analysis. 41st International Universities Power Engineering Conference, Newcastle upon Tyne, United Kingdom. 06 - 08 Sep 2006.

Record type: Conference or Workshop Item (Paper)
Text
UPEC2006paper.pdf - Other
Download (550kB)

More information

Published date: 2006
Additional Information: Event Dates: 6 - 8 September 2006
Venue - Dates: 41st International Universities Power Engineering Conference, Newcastle upon Tyne, United Kingdom, 2006-09-06 - 2006-09-08
Organisations: EEE

Identifiers

Local EPrints ID: 262952
URI: http://eprints.soton.ac.uk/id/eprint/262952
PURE UUID: d2a5ff98-12ba-4813-bd81-e1c6abe82a62
ORCID for J.K. Sykulski: ORCID iD orcid.org/0000-0001-6392-126X

Catalogue record

Date deposited: 11 Sep 2006
Last modified: 15 Mar 2024 02:34

Export record

Contributors

Author: N. Zamanan
Author: J.K. Sykulski ORCID iD
Author: A.K. Al-Othman

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×