Results 1 to 10 of about 380,664 (276)

Predicting Marshall Flow and Marshall Stability of Asphalt Pavements Using Multi Expression Programming

open access: yesBuildings, 2022
The traditional method to obtain optimum bitumen content and the relevant parameters of asphalt pavements entails time-consuming, complicated and expensive laboratory procedures and requires skilled personnel.
Hamad Hassan Awan   +7 more
doaj   +12 more sources

Forecasting Strength of CFRP Confined Concrete Using Multi Expression Programming. [PDF]

open access: yesMaterials (Basel), 2021
This study provides the application of a machine learning-based algorithm approach names “Multi Expression Programming” (MEP) to forecast the compressive strength of carbon fiber-reinforced polymer (CFRP) confined concrete. The suggested computational Multiphysics model is based on previously reported experimental results.
Ilyas I   +6 more
europepmc   +4 more sources

Software Effort Estimation Using Multi Expression Programming [PDF]

open access: yesAl-Rafidain Journal of Computer Sciences and Mathematics, 2014
The process of finding a function that can estimate the effort of software systems is considered to be the most important and most complex process facing systems developers in the field of software engineering.
Najla Al-Saati, Taghreed Alreffaee
doaj   +2 more sources

Forecasting Compressive Strength of RHA Based Concrete Using Multi-Expression Programming. [PDF]

open access: yesMaterials (Basel), 2022
Rice husk ash (RHA) is a significant pollutant produced by agricultural sectors that cause a malignant outcome to the environment. To encourage the re-use of RHA, this work used multi expression programming (MEP) to construct an empirical model for forecasting the compressive nature of concrete made with RHA (CRHA) as a cement substitute.
Amin MN   +8 more
europepmc   +3 more sources

New design equations for elastic modulus of concrete using multi expression programming

open access: yesJournal of Civil Engineering and Management, 2015
An innovative multi expression programming (MEP) approach is used to derive new predictive equations for tangent elastic modulus of normal strength concrete (NSC) and high strength concrete (HSC).
Amir H. Gandomi   +4 more
doaj   +4 more sources

Multi Expression Programming [PDF]

open access: yes, 2021
Abstract Multi Expression Programming (MEP) is a new evolutionary paradigm intended for solving computationally difficult problems. MEP individuals are linear entities that encode complex computer programs. MEP chromosomes are represented in the same way as C or Pascal compilers translate mathematical expressions into machine code.
Mihai Oltean, D. Dumitrescu
openaire   +2 more sources

Comparative study of genetic programming-based algorithms for predicting the compressive strength of concrete at elevated temperature

open access: yesCase Studies in Construction Materials, 2023
The elevated temperature severely influences the mixed properties of concrete, causing a decrease in its strength properties. Accurate proportioning of concrete components for obtaining the required compressive strength (C-S) at elevated temperatures is ...
Abdulaziz Alaskar   +6 more
doaj   +1 more source

Development of predictive models for sustainable concrete via genetic programming-based algorithms

open access: yesJournal of Materials Research and Technology, 2023
Waste foundry sand (WFS), a by-product of the casting industry, is a potential material that may be employed as a substitute for fine aggregate in concrete.
Lingling Chen   +6 more
doaj   +1 more source

INNOVATIVE PROTECTION AGAINST THE SCOUR AT OUTLETS OF CYLINDRICAL CULVERTS AND APPLICATION USING MULTI EXPRESSION PROGRAMMING TECHNIQUE (MEP) [PDF]

open access: yesEngineering Heritage Journal, 2022
The present experimental study suggested a pool to resist the localized scour downstream of cylindrical culverts. The study was conducted with a range of intensity number of discharges 𝐹𝑝 = [0.44:0.98]. The proposed pool decreased the scour by 70%. The
Nassar M.A.
doaj   +1 more source

Optimizing compressive strength prediction models for rice husk ash concrete with evolutionary machine intelligence techniques

open access: yesCase Studies in Construction Materials, 2023
This research intended to increase the understanding of using modern machine intelligence techniques, including multi-expression programming (MEP) and gene expression programming (GEP), for the compressive strength (CS) prediction of rice husk ash (RHA ...
Muhammad Nasir Amin   +3 more
doaj   +1 more source

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