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Enriched ant colony optimization and its application in feature selection

Forsati, R, Moayedikia, Alireza, Jensen, R, Shamsfard, M and Meybodi, MR 2014, Enriched ant colony optimization and its application in feature selection, Neurocomputing, vol. 142, pp. 354-371, doi: 10.1016/j.neucom.2014.03.053.

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Title Enriched ant colony optimization and its application in feature selection
Author(s) Forsati, R
Moayedikia, Alireza
Jensen, R
Shamsfard, M
Meybodi, MR
Journal name Neurocomputing
Volume number 142
Start page 354
End page 371
Total pages 18
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2014-10-22
ISSN 0925-2312
1872-8286
Keyword(s) Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science
Ant colony optimization
Feature selection
Hybrid algorithms
Swarm intelligence
Particle swarm optimization
Hybrid genetic algorithm
Attribute reduction
Mutual information
Rough sets
System
Search
Language eng
DOI 10.1016/j.neucom.2014.03.053
Indigenous content off
Field of Research 0806 Information Systems
08 INFORMATION AND COMPUTING SCIENCES
17 PSYCHOLOGY AND COGNITIVE SCIENCES
09 ENGINEERING
HERDC Research category CN.1 Other journal article
ERA Research output type C Journal article
Copyright notice ©2014, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30119629

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.