Genetic Programming
Mostrando 1-12 de 104 artigos, teses e dissertações.
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1. Performance and Egg Quality of Commercial Laying Hens Fed Diets Formulated Using Non-Linear Programming
ABSTRACT Feed formulation using linear programming consists of determining the mixture of feedstuffs required to meet pre-established animal nutritional requirements at the lowest cost. On the other hand, with the use of non-linear programming, it is possible to define nutritional requirements at the time of formulation, aiming at maximum profit. The objecti
Braz. J. Poult. Sci.. Publicado em: 25/11/2019
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2. MANNGA: A Robust Method for Gap Filling Meteorological Data
Resumo Este trabalho apresenta o método Mannga (Multiple variables with Artificial Neural Network and Genetic Algorithm), desenvolvido para preencher falhas em dados meteorológicos. A ideia principal é preencher as falhas baseando-se nos valores de outras variáveis meteorológicas medidas no mesmo momento, uma vez que as variáveis meteorológicas possue
Rev. bras. meteorol.. Publicado em: 05/08/2019
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3. Determination of Barreling of Aluminum Solid Cylinders During Cold Upsetting Using Genetic Algorithm
ABSTRACT This study presents Genetic Programming models for the formulation of barreling of aluminum solid cylinders during cold upsetting based on experimental results. The maximum and minimum radii of the barreled cylinders having different aspect ratio (d/h= 0.5, 1.0 and 2.0) were measured for various frictional conditions (m=0.1-0.4). The change in radii
Matéria (Rio J.). Publicado em: 20/05/2019
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4. Rbio: A tool for biometric and statistical analysis using the R platform
Abstract Rbio is a free software for data processing. It is compatible and integrated with the free R software, which is globally accepted for statistical analysis. Thus, Rbio takes advantage of all processing potential of the R software. However, this new software allows the user to perform all the analyses without knowing the programming in R language. Rbi
Crop Breed. Appl. Biotechnol.. Publicado em: 2017-06
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5. Identifying Mechanical Properties of Viscoelastic Materials in Time Domain Using the Fractional Zener Model
Abstract The present paper aims at presenting a methodology for characterizing viscoelastic materials in time domain, taking into account the fractional Zener constitutive model and the influence of temperature through Williams, Landel, and Ferry’s model. To that effect, a set of points obtained experimentally through uniaxial tensile tests with different
Lat. Am. j. solids struct.. Publicado em: 2017-01
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6. TOWARD PREDICTIVE MODELS FOR ESTIMATION OF BUBBLE-POINT PRESSURE AND FORMATION VOLUME FACTOR OF CRUDE OIL USING AN INTELLIGENT APPROACH
Abstract Accurate estimation of reservoirs fluid properties, as vital tools of reservoir behavior simulation and reservoir economic investigations, seems to be necessary. In this study, two important properties of crude oil, bubble point pressure (Pb) and formation volume factor (Bob), were modelled on the basis of a number of basic oil properties: temperatu
Braz. J. Chem. Eng.. Publicado em: 2016-12
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7. A multiobjective metaheuristic approach for the integrated vehicle and crew scheduling
AbstractThe integrated vehicle and crew scheduling problem is a hard Combinatorial Optimization problem widely studied over the years. Taking into consideration the range of variables related to the planning process of vehicles and drivers, there are several practical characteristics of the problem that are not reflected in the solutions generated computatio
J. Transp. Lit.. Publicado em: 2016-06
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8. Viscoelastic Relaxation Modulus Characterization Using Prony Series
AbstractThe mechanical behavior of viscoelastic materials is influenced, among other factors, by parameters like time and temperature. The present paper proposes a methodology for a thermorheologically and piezorheologically simple characterization of viscoelastic materials in the time domain based on experimental data using Prony Series and a mixed optimiza
Lat. Am. j. solids struct.. Publicado em: 2015-04
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9. A review on the evidence of transgenerational transmission of posttraumatic stress disorder vulnerability
Objective: To understand the risks of posttraumatic stress disorder (PTSD) development in the next generation of PTSD patients, we conducted a review on the biological, but not genetic, evidence of transgenerational transmission of PTSD vulnerability. Methods: Pertinent articles published from 1985 to September 2011 were searched using online academic searc
Rev. Bras. Psiquiatr.. Publicado em: 23/12/2013
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10. Rutting prediction of asphalt mixtures modified by polypropylene fibers via repeated creep testing by utilising genetic programming
A novel application of genetic programming (GP) for modelling and presenting closed form solutions to the rutting prediction for polypropylene (PP) modified asphalt mixtures is investigated. Various PP fibers have been utilised for bitumen modification and repeated creep (RC) tests have been carried out. Marshall specimens, fabricated with multifilament 3 mm
Mat. Res.. Publicado em: 01/02/2013
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11. PROGRAMAÇÃO GENÉTICA, REDES NEURAIS ARTIFICIAIS E TÉCNICAS DE BALANCEAMENTO NA MODELAGEM DE DADOS AGRÍCOLAS: ESTUDO DA DOENÇA MOFO BRANCO
Data regression problems are common in the literature, therein it is desired to infer the relationship between the dependent (output) and independent variable (input) from a dataset. Infer the relationship between variables is not a simple task, many times there is a high non-linearity and noise in the data inside them. Two machine learning techniques that a
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 01/08/2012
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12. Estimação e previsão da estrutura a termo das taxas de juros usando técnicas de inteligência computacional / Term structure of interest rate modeling and forecasting using computational intelligence techniques
This work proposes the term structure of interest rates modeling and forecasting using computational intelligence techniques, based on data from the US and Brazilian fixed income markets. The yield curve modeling includes the use of some evolutionary computation methods like Genetic Algorithms, Differential Evolution and Evolution Strategies in comparison wi
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 25/06/2012