Results 11 to 20 of about 380,664 (270)

Sustainable use of fly-ash: Use of gene-expression programming (GEP) and multi-expression programming (MEP) for forecasting the compressive strength geopolymer concrete

open access: yesAin Shams Engineering Journal, 2021
Annually, the thermal coal industries produce billion tons of fly-ash (FA) as a waste by-product. Which has been proficiently used for the manufacture of FA based geopolymer concrete (FGC).
Hong-Hu Chu   +6 more
doaj   +3 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

Multi Expression Programming - an in-depth description [PDF]

open access: yes, 2021
Abstract Multi Expression Programming (MEP) is a Genetic Programming variant that uses a linear representation of chromosomes. MEP individuals are strings of genes encoding complex computer programs. When MEP individuals encode expressions, their representation is similar to the way in which compilers translate C or Pascal expressions into ...
openaire   +2 more sources

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

Mechanical behaviour of E-waste aggregate concrete using a novel machine learning algorithm: Multi expression programming (MEP)

open access: yesJournal of Materials Research and Technology, 2023
Technological advancement encourages the usage of electronic appliances in daily life and makes it possible for users to switch to more advanced devices very easily and at a reasonable cost.
Sultan Shah   +8 more
doaj   +1 more source

Evolving TSP Heuristics Using Multi Expression Programming [PDF]

open access: yes, 2004
Multi Expression Programming (MEP) is an evolutionary technique that may be used for solving computationally difficult problems. MEP uses a linear solution representation. Each MEP individual is a string encoding complex expressions (computer programs). A MEP individual may encode multiple solutions of the current problem. In this paper MEP is used for
Oltean, Mihai, Dumitrescu, D.
openaire   +2 more sources

Evolving Evolutionary Algorithms Using Multi Expression Programming [PDF]

open access: yes, 2003
Finding the optimal parameter setting (i.e. the optimal population size, the optimal mutation probability, the optimal evolutionary model etc) for an Evolutionary Algorithm (EA) is a difficult task. Instead of evolving only the parameters of the algorithm we will evolve an entire EA capable of solving a particular problem.
Oltean, Mihai, Groşan, Crina
openaire   +2 more sources

Estimation of 28-Day Compressive Strength of Self-Compacting Concrete Using Multi Expression Programming (MEP): An Artificial Intelligence Approach

open access: yesEngineering Proceedings, 2023
Self-compacting concrete (SCC) is an innovative building material having special properties such as increased flowability, good segregation resistance and compaction without vibration, etc.
Waleed Bin Inqiad
doaj   +1 more source

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