Gene expression programming approach to cost estimation formulation for utility projects

Shahrara, N; Çelik, T; Gandomi, AH

Gene expression programming approach to cost estimation formulation for utility projects

Shahrara, N Çelik, T Gandomi, AH

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Publisher:: Vilnius Gediminas Technical University Press
Publication Type:: Journal Article
Citation:: Journal of Civil Engineering and Management, 2017, 23, (1), pp. 85-95
Issue Date:: 2017-01-02

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Field	Value	Language
dc.contributor.author	Shahrara, N
dc.contributor.author	Çelik, T
dc.contributor.author	Gandomi, AH
dc.date.accessioned	2022-08-25T01:54:59Z
dc.date.available	2022-08-25T01:54:59Z
dc.date.issued	2017-01-02
dc.identifier.citation	Journal of Civil Engineering and Management, 2017, 23, (1), pp. 85-95
dc.identifier.issn	1392-3730
dc.identifier.issn	1822-3605
dc.identifier.uri	http://hdl.handle.net/10453/160818
dc.description.abstract	This article utilizes gene expression programming (GEP) technique to develop a prediction model in order to automate estimating the construction cost of water and sewer replacement/rehabilitation projects. A database gathered for developing the model was established on the basis of data related to 210 actual water and sewer projects obtained from the City of San Diego, California, USA. To verify the predictability of the GEP model, it was examined to estimate the cost of the projects that were not included in the modelling process. Sensitivity analysis technique and professional experiences were employed to determine the contributions of the qualitative factors and quantifiable parameters affecting the cost estimate. The proposed model with correlation coefficient of 0.8467 is adequately capable of estimating the cost of water and sewer replacement/rehabilitation projects. The GEP-based design equation can easily be used for predesign purposes to help allocate budgets and available limited resources effectively.
dc.language	English
dc.publisher	Vilnius Gediminas Technical University Press
dc.relation.ispartof	Journal of Civil Engineering and Management
dc.relation.isbasedon	10.3846/13923730.2016.1210214
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0905 Civil Engineering, 1202 Building
dc.subject.classification	Civil Engineering
dc.title	Gene expression programming approach to cost estimation formulation for utility projects
dc.type	Journal Article
utslib.citation.volume	23
utslib.for	0905 Civil Engineering
utslib.for	1202 Building
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2022-08-25T01:54:58Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	23
utslib.citation.issue	1

Abstract:

This article utilizes gene expression programming (GEP) technique to develop a prediction model in order to automate estimating the construction cost of water and sewer replacement/rehabilitation projects. A database gathered for developing the model was established on the basis of data related to 210 actual water and sewer projects obtained from the City of San Diego, California, USA. To verify the predictability of the GEP model, it was examined to estimate the cost of the projects that were not included in the modelling process. Sensitivity analysis technique and professional experiences were employed to determine the contributions of the qualitative factors and quantifiable parameters affecting the cost estimate. The proposed model with correlation coefficient of 0.8467 is adequately capable of estimating the cost of water and sewer replacement/rehabilitation projects. The GEP-based design equation can easily be used for predesign purposes to help allocate budgets and available limited resources effectively.

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

http://hdl.handle.net/10453/160818