Results 11 to 20 of about 380,664 (276)

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

Crack width prediction of self-healing engineered cementitious composite using multi-expression programming

open access: yesJournal of Materials Research and Technology, 2023
Concrete structures are prone to cracking due to environmental damage and/or tensile strain. Self-healing concrete has garnered scientific interest in recent years as it addresses the cracking problem and extends the service life of concrete structures ...
Fadi Althoey   +7 more
doaj   +3 more sources

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

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

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

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

Modeling and Solving for Multi-Satellite Cooperative Task Allocation Problem Based on Genetic Programming Method

open access: yesMathematics, 2022
The past decade has seen an increase in the number of satellites in orbit and in highly dynamic satellite requests, making the control by ground stations inefficient.
Weihua Qi   +3 more
doaj   +1 more source

Energy efficiency optimization in MIMO interference channels: A successive pseudoconvex approximation approach [PDF]

open access: yes, 2018
In this paper, we consider the (global and sum) energy efficiency optimization problem in downlink multi-input multi-output multi-cell systems, where all users suffer from multi-user interference.
Chatzinotas, Symeon   +3 more
core   +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

Regresión Simbólica aplicada a la Predicción del Consumo Eléctrico a Corto Plazo en el Nivel de Subestación

open access: yesTecnología y Ciencia, 2020
El modelado de datos es un problema fundamental en diversas áreas del conocimiento. La Regresión Simbólica es una técnica que permite encontrar una relación matemática para describir un conjunto de datos experimentales.
Victor Adrian Jimenez   +2 more
doaj   +1 more source

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