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Enhanced COOT optimization algorithm for Dimensionality Reduction
Mansoura Univ, Egypt.
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering. Fayoum Univ, Egypt.ORCID iD: 0000-0001-5394-0678
HITEC Univ, Pakistan.
Noroff Univ Coll, Norway.
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2022 (English)In: 2022 FIFTH INTERNATIONAL CONFERENCE OF WOMEN IN DATA SCIENCE AT PRINCE SULTAN UNIVERSITY (WIDS-PSU 2022), IEEE , 2022, p. 43-48Conference paper, Published paper (Refereed)
Abstract [en]

COOT algorithm is a recent metaheuristic algorithm that simulates American coot birds when moving in the sea. However, the COOT algorithm like other metaheuristic techniques may be stuck in local regions. In this study, a modified COOT algorithm called (mCOOT) is presented which is based on 2 techniques: Opposition-based Learning (OBL) & Orthogonal Learning to overcome these limitations. Moreover, to test the novel algorithm called mCOOT, we apply it to the dimensionality reduction problem using 9 UCI datasets and compare it with the original algorithm and 3 other ones. Results prove the effectivness and superiority of the proposed algorithm in solving feature selection in terms of classification accuracy and selected features numbers.

Place, publisher, year, edition, pages
IEEE , 2022. p. 43-48
Keywords [en]
COOT; mCOOT; Feature Selection; Dimensionality Reduction
National Category
Bioinformatics (Computational Biology)
Identifiers
URN: urn:nbn:se:liu:diva-189813DOI: 10.1109/WiDS-PSU54548.2022.00020ISI: 000851501300008ISBN: 9781665408127 (electronic)ISBN: 9781665408134 (print)OAI: oai:DiVA.org:liu-189813DiVA, id: diva2:1709421
Conference
5th IEEE International Conference of Women in Data Science (WiDS-PSU), Prince Sultan Univ, Riyadh, SAUDI ARABIA, mar 28-29, 2022
Available from: 2022-11-08 Created: 2022-11-08 Last updated: 2022-11-08

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Hussien, Abdelazim
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Total: 26 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf