Gene expression programming approach to cost estimation formulation for utility projects

AbstractThis 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 resourc...

[1]  Tariq Shehab,et al.  Neural network cost estimating model for utility rehabilitation projects , 2013 .

[2]  Sung Hoon An,et al.  Comparison of construction cost estimating models based on regression analysis, neural networks, and case-based reasoning , 2004 .

[3]  A. Tropsha,et al.  Beware of q2! , 2002, Journal of molecular graphics & modelling.

[4]  Amir Hossein Alavi,et al.  Novel Approach to Strength Modeling of Concrete under Triaxial Compression , 2012 .

[5]  M. Lewis,et al.  The Governance of Contractual Relationships in PublicPrivate Partnerships , 2004 .

[6]  Federico Milani,et al.  Genetic algorithm for the optimization of rubber insulated high voltage power cables production lines , 2008, Comput. Chem. Eng..

[7]  Christopher Findlay,et al.  Financing Public Infrastructure: Darrin Grimsey and Mervyn K Lewis, Public Private Partnerships: The Worldwide Revolution in Infrastructure Provision and Private Finance, Edward Elgar, Cheltenham, 2004 , 2005 .

[8]  Matthew Walker.  Introduction to Genetic Programming , 2001 .

[9]  Aidan Duffy,et al.  Engineering Project Appraisal (2nd. ed) , 2012 .

[10]  Xin-She Yang,et al.  Metaheuristic Applications in Structures and Infrastructures , 2013 .

[11]  John R. Koza,et al.  Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.

[12]  Mukta Paliwal,et al.  Neural networks and statistical techniques: A review of applications , 2009, Expert Syst. Appl..

[13]  A. Tropsha,et al.  Beware of q 2 , 2002 .

[14]  Ahmed Bouferguene,et al.  Artificial Neural Network Model for Cost Estimation: City of Edmonton's Water and Sewer Installation Services , 2010 .

[15]  Amir Hossein Alavi,et al.  Towards automatic detection of atrial fibrillation: A hybrid computational approach , 2010, Comput. Biol. Medicine.

[16]  Doug Schmucker,et al.  Not As Bad As It Seems: Teaching Probability And Statistics In Civil Engineering , 2004 .

[17]  Cândida Ferreira,et al.  Gene Expression Programming: A New Adaptive Algorithm for Solving Problems , 2001, Complex Syst..

[18]  Murat Kucukvar,et al.  Cost premium prediction of certified green buildings: A neural network approach , 2011 .

[19]  R. Corotis.  Probability and statistics in Civil Engineering: by G.N. Smith, Nichols Publishing Company, New York, NY, 1986, 244 pp. , 1988 .

[20]  Amir Hossein Alavi,et al.  A robust data mining approach for formulation of geotechnical engineering systems , 2011 .

[21]  Simon Haykin,et al.  Neural Networks: A Comprehensive Foundation , 1998 .

[22]  A. Gandomi,et al.  Nonlinear Genetic-Based Models for Prediction of Flow Number of Asphalt Mixtures , 2011 .

[23]  G. Herrera.  DESCRIPTION , 1949 .

[24]  Roberto Todeschini,et al.  The data analysis handbook , 1994, Data handling in science and technology.

[25]  Aidan,et al.  Engineering Project Appraisal , 2001 .

[26]  R. Max Wideman.  Cost Control of Capital Projects and the Project Cost Management System Requirements , 1995 .

[27]  Cândida Ferreira,et al.  Automatically Defined Functions in Gene Expression Programming , 2006, Genetic Systems Programming.

[28]  Peter Nordin,et al.  Genetic programming - An Introduction: On the Automatic Evolution of Computer Programs and Its Applications , 1998 .

[29]  Glenn P. Jenkins,et al.  COST-BENEFIT ANALYSIS FOR INVESTMENT DECISIONS, CHAPTER 2: , 2011 .

[30]  Tariq Shehab,et al.  Cost Estimating Models for Utility Rehabilitation Projects: Neural Networks versus Regression , 2010 .

[31]  Hojjat Adeli,et al.  Regularization neural network for construction cost estimation , 1998 .

[32]  Ahmad Ayatollahi,et al.  Robust genetic programming‐based detection of atrial fibrillation using RR intervals , 2011, Expert Syst. J. Knowl. Eng..

[33]  Amir Hossein Gandomi,et al.  Assessment of artificial neural network and genetic programming as predictive tools , 2015, Adv. Eng. Softw..

[34]  H. Md. Azamathulla.  Gene-expression programming to predict friction factor for Southern Italian rivers , 2012, Neural Computing and Applications.

[35]  H Azamathulla,et al.  Estimation of Critical Velocity for Slurry Transport through Pipeline Using Adaptive Neuro-Fuzzy Interference System and Gene-Expression Programming , 2013 .

[36]  Tarek Hegazy,et al.  NEURAL NETWORK MODEL FOR PARAMETRIC COST ESTIMATION OF HIGHWAY PROJECTS , 1998 .

[37]  Akbar A. Javadi,et al.  Applications of artificial intelligence and data mining techniques in soil modeling , 2009 .

[38]  Chris Hendrickson,et al.  Project Management for Construction: Fundamental Concepts for Owners, Engineers, Architects, and Builders , 1989 .

[39]  AmirHossein Gandomi,et al.  Seismic Response Prediction of Self-Centering, Concentrically-Braced Frames Using Genetic Programming , 2014 .

[40]  Wolfgang Banzhaf,et al.  Genetic Programming: An Introduction , 1997 .

[41]  Nichael Lynn Cramer,et al.  A Representation for the Adaptive Generation of Simple Sequential Programs , 1985, ICGA.

[42]  Alice E. Smith,et al.  COST ESTIMATION PREDICTIVE MODELING: REGRESSION VERSUS NEURAL NETWORK , 1997 .

[43]  Jamshid Sodikov.  COST ESTIMATION OF HIGHWAY PROJECTS IN DEVELOPING COUNTRIES: ARTIFICIAL NEURAL NETWORK APPROACH , 2005 .

[44]  Robert M. Clark,et al.  Cost models for Water supply distribution systems , 2002 .

[45]  Amir Hossein Gandomi,et al.  Applications of Computational Intelligence in Behavior Simulation of Concrete Materials , 2011, Computational Optimization and Applications in Engineering and Industry.

[46]  Gabriele Milani,et al.  Homogenized limit analysis of masonry structures with random input properties: polynomial Response Surface approximation and Monte Carlo simulations , 2010 .

[47]  Amir Hossein Gandomi,et al.  Multi-stage genetic programming: A new strategy to nonlinear system modeling , 2011, Inf. Sci..