Software review: the GPTIPS platform

Gandomi, AH; Atefi, E

Software review: the GPTIPS platform

Gandomi, AH Atefi, E

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Publisher:: SPRINGER
Publication Type:: Journal Article
Citation:: Genetic Programming and Evolvable Machines, 2020, 21, (1-2), pp. 273-280
Issue Date:: 2020

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Field	Value	Language
dc.contributor.author	Gandomi, AH
dc.contributor.author	Atefi, E
dc.date.accessioned	2021-03-11T04:24:21Z
dc.date.available	2021-03-11T04:24:21Z
dc.date.issued	2020
dc.identifier.citation	Genetic Programming and Evolvable Machines, 2020, 21, (1-2), pp. 273-280
dc.identifier.issn	1389-2576
dc.identifier.issn	1573-7632
dc.identifier.uri	http://hdl.handle.net/10453/147038
dc.description.abstract	© 2019, Springer Science+Business Media, LLC, part of Springer Nature. GPTIPS is a widely used genetic programming software that was developed in Matlab. The most recent version of this software, GPTIPS 2.0, provides a symbolic multi-gene regression for data analysis, in addition to traditional evolutionary algorithms. We briefly explain the GPTIPS methodology and describe its main features, including its weaknesses and strengths, and give examples of GPTIPS applications.
dc.language	English
dc.publisher	SPRINGER
dc.relation.ispartof	Genetic Programming and Evolvable Machines
dc.relation.isbasedon	10.1007/s10710-019-09366-0
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	01 Mathematical Sciences, 08 Information and Computing Sciences, 10 Technology
dc.subject.classification	Artificial Intelligence & Image Processing
dc.title	Software review: the GPTIPS platform
dc.type	Journal Article
utslib.citation.volume	21
utslib.for	01 Mathematical Sciences
utslib.for	08 Information and Computing Sciences
utslib.for	10 Technology
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/A/DRsch The Data Science Institute
utslib.copyright.status	closed_access	*
pubs.consider-herdc	true
dc.date.updated	2021-03-11T04:24:19Z
pubs.issue	1-2
pubs.publication-status	Published
pubs.volume	21
utslib.citation.issue	1-2

Abstract:

© 2019, Springer Science+Business Media, LLC, part of Springer Nature. GPTIPS is a widely used genetic programming software that was developed in Matlab. The most recent version of this software, GPTIPS 2.0, provides a symbolic multi-gene regression for data analysis, in addition to traditional evolutionary algorithms. We briefly explain the GPTIPS methodology and describe its main features, including its weaknesses and strengths, and give examples of GPTIPS applications.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/147038