Search Results - Performance Keywords Genetic Programming

A NOVEL HYBRID ALGORITHM COMBINING NEURAL NETWORKS AND GENETIC PROGRAMMING FOR CLOUD RESOURCE MANAGEMENT.

Authors: Nandhini, T. Babu, M. Rajesh Natarajan, Balakrishnan et al.

Source: Frontiers in Health Informatics; 2024, Vol. 13 Issue 8, p4014-4031, 18p

Subject Terms: GENETIC programming, CONVOLUTIONAL neural networks, COMPUTER systems, FEATURE extraction, RESOURCE allocation

Determinación del diámetro medio y porcentaje de medulación de fibras representativos de vellones de alpaca.

Alternate Title: Determination of the average diameter and percentage of medullation of representative fibres of alpaca fleeces.

Authors: Quispe Peña, Edgar Aliaga Gutiérrez, Jorge Gamarra Bojorquez, Jorge et al.

Source: Revista de Investigaciones Veterinarias del Peru. 2024, Vol. 35 Issue 6, p1-16. 16p.

Subjects: Measuring instruments, Genetic programming, Rank correlation (Statistics), Alpaca, Fibers

Genetic programming based automatic gait generation for quadruped robots

Authors: Kisung Seo Soohwan Hyun The Pennsylvania State University CiteSeerX Archives

Contributors: Kisung Seo Soohwan Hyun The Pennsylvania State University CiteSeerX Archives

Source: http://www.cs.bham.ac.uk/~wbl/biblio/gecco2008/docs/p293.pdf.

Subject Terms: Categories and Subject Descriptors I.2.9 [Artificial Intelligence, Robotics General Terms Algorithms, Design, Performance Keywords Genetic Programming, Quadruped Robot, Automatic Gait Generation, Elite Archive Mechanism

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.562.1569; http://www.cs.bham.ac.uk/~wbl/biblio/gecco2008/docs/p293.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.562.1569
http://www.cs.bham.ac.uk/~wbl/biblio/gecco2008/docs/p293.pdf

Coevolution of intelligent agents using cartesian genetic programming

Authors: Gul Muhammad Khan Julian F. Miller David M. Halliday et al.

Contributors: Gul Muhammad Khan Julian F. Miller David M. Halliday et al.

Source: http://www.cs.bham.ac.uk/~wbl/biblio/gecco2007/docs/p269.pdf.

Subject Terms: Algorithms, Design, Performance Keywords Genetic Programming, Co-evolution, Brain, Artificial Neural Networks

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.216.5381; http://www.cs.bham.ac.uk/~wbl/biblio/gecco2007/docs/p269.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.216.5381
http://www.cs.bham.ac.uk/~wbl/biblio/gecco2007/docs/p269.pdf

Discovering biological motifs with genetic programming

Authors: Rolv Seehuus Amund Tveit Ole Edsberg et al.

Contributors: Rolv Seehuus Amund Tveit Ole Edsberg et al.

Source: http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p401.pdf.

Subject Terms: Algorithms, Performance Keywords Genetic Programming, protein motifs, representations

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Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.152.7791; http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p401.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.152.7791
http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p401.pdf

On the limiting distribution of program sizes in tree-based genetic programming

Authors: Stephen Dignum The Pennsylvania State University CiteSeerX Archives

Contributors: Stephen Dignum The Pennsylvania State University CiteSeerX Archives

Source: http://cswww.essex.ac.uk/staff/rpoli/papers/DignumPoliGECCO2007_Limit_Distrib.pdf.

Subject Terms: I.2.2 [Artificial Intelligence, Automatic Programming General Terms Algorithms, Performance Keywords Genetic Programming, Crossover Bias, Program Size Distribution, Bloat, Initialisation

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.228.7343; http://cswww.essex.ac.uk/staff/rpoli/papers/DignumPoliGECCO2007_Limit_Distrib.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.228.7343
http://cswww.essex.ac.uk/staff/rpoli/papers/DignumPoliGECCO2007_Limit_Distrib.pdf

Long‐Term Body Weight Trends in Gobra Zebu Cattle Reared at the 'Centre de Recherches Zootechniques' of Dahra (Senegal): A Historical Perspective (1952–2018).

Authors: Sambe, Babacar Souleymane Diouf, Mame Nahé Ciss, Mamadou et al.

Source: Veterinary Medicine & Science. Jan2025, Vol. 11 Issue 1, p1-10. 10p.

Subjects: Parturition, Cattle breeds, Cattle breeding, Body weight, Genetic programming

PREDICTING OXYGEN DEPLETION LEVEL IN AQUAPONICS POND USING A HYBRID LSTM-GENETIC MODEL.

Authors: Begam, Safiya Banu, Aisha

Source: Biochemical & Cellular Archives; 2023 Suppl1, Vol. 23, p1481-1488, 8p

Subject Terms: AQUAPONICS, RECURRENT neural networks, GENETIC programming, FISH waste, NUTRIENT cycles, SOLAR radiation

Production system analysis and breeding practices of indigenous goats in North Wollo zone, Amhara region, Ethiopia.

Authors: Taye, Yeshareg Taye, Mengistie Alemayehu, Kefyalew et al.

Source: Journal of Applied Animal Research. Dec2024, Vol. 52 Issue 1, p1-14. 14p.

Subjects: Goat breeds, Crop residues, Genetic programming, Indigenous peoples, Goats

Enhancing online yard crane scheduling through a two-stage rollout memetic genetic programming.

Authors: Jin, Chenwei Bai, Ruibin Zhou, Yuyang et al.

Source: Memetic Computing; Sep2024, Vol. 16 Issue 3, p467-489, 23p

Large‐Scale Drought Forecasting in the U.S. Southern Plains Through a Hybrid Cluster‐Based Wavelet‐Machine Learning Approach.

Authors: Lee, SangHyun Danandeh Mehr, Ali Moriasi, Daniel et al.

Source: Water Resources Research; Nov2025, Vol. 61 Issue 11, p1-23, 23p

Subject Terms: DROUGHT forecasting, MACHINE learning, WAVELET transforms, CLIMATE change adaptation, HYDROLOGIC models, PLAINS, SPATIAL variation, EVAPOTRANSPIRATION

Application of Machine Learning Models to Bridge Afflux Estimation.

Authors: Piraei, Reza Niazkar, Majid Afzali, Seied Hosein et al.

Source: Water (20734441); Jun2023, Vol. 15 Issue 12, p2187, 19p

Subject Terms: MACHINE learning, ARTIFICIAL neural networks, BRIDGES, GENETIC programming, KRIGING, K-nearest neighbor classification, PIERS

A meta‐analysis of the genetic contribution to greenhouse gas emission in sheep.

Authors: Ghavi Hossein‐Zadeh, Navid¹ (AUTHOR) nhosseinzadeh@guilan.ac.ir

Source: Journal of Animal Breeding & Genetics. Jan2023, Vol. 140 Issue 1, p49-59. 11p.

Subjects: Genetic correlations, Sheep, Wool, Oxygen consumption, Carbon dioxide, Genetic programming, Greenhouse gases

Kingdom

Authors: Leonardo Trujillo Yuliana Martínez Edgar Galván-lópez et al.

Contributors: Leonardo Trujillo Yuliana Martínez Edgar Galván-lópez et al.

Source: http://hal.inria.fr/docs/00/75/72/66/PDF/p1489-trujillo.pdf.

Subject Terms: General Terms Theory, Experimentation, Performance Keywords Genetic Programming, Performance prediction, Classification

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.404.5079

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.404.5079
http://hal.inria.fr/docs/00/75/72/66/PDF/p1489-trujillo.pdf

Phenotypic and genetic parameter estimates for early growth, growth rate and growth efficiency‐related traits of Fogera cattle in Ethiopia.

Authors: Kassahun, Demelash Taye, Mengistie Kebede, Damitie et al.

Source: Veterinary Medicine & Science. Jan2022, Vol. 8 Issue 1, p387-397. 11p.

Subjects: Phenotypes, Genetic correlations, Cattle, Calves, Genetic programming

Geographic Terms: Ethiopia

Comparative Analysis of Machine Learning Models for Predicting Interfacial Bond Strength of Fiber-Reinforced Polymer-Concrete.

Authors: Kovačević, Miljan Hadzima-Nyarko, Marijana Petronijević, Predrag et al.

Source: Computation; Jan2025, Vol. 13 Issue 1, p17, 39p

Subject Terms: MACHINE learning, KRIGING, FIBER-reinforced plastics, BOND strengths, GENETIC programming, REGRESSION trees

A New Multi-Objective Genetic Programming Model for Meteorological Drought Forecasting.

Authors: Reihanifar, Masoud Danandeh Mehr, Ali Tur, Rifat et al.

Source: Water (20734441); Oct2023, Vol. 15 Issue 20, p3602, 13p

Subject Terms: DROUGHT forecasting, GENETIC programming, ATMOSPHERIC models, WATER management, GENETIC models, WATER resources development

Geographic Terms: TURKEY

The reliability of confidence intervals for computational effort comparisons

Authors: Matthew Walker Howard Edwards Chris Messom et al.

Contributors: Matthew Walker Howard Edwards Chris Messom et al.

Source: http://www.massey.ac.nz/~chmessom/Gecco2007paper2.pdf.

Subject Terms: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic Programming— Program synthesis General Terms Experimentation, Measurement, Performance Keywords Genetic Programming, Computational Effort, Confidence Intervals, Wilson’s Method

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.64.4706; http://www.massey.ac.nz/~chmessom/Gecco2007paper2.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.64.4706
http://www.massey.ac.nz/~chmessom/Gecco2007paper2.pdf

Application of Machine Learning Coupled with Stochastic Numerical Analyses for Sizing Hybrid Surge Vessels on Low-Head Pumping Mains.

Authors: Sattar, Ahmed M. A. Ghazal, Abedalkareem Nedal Elhakeem, Mohamed et al.

Source: Water (20734441); Oct2023, Vol. 15 Issue 19, p3525, 30p

Subject Terms: STOCHASTIC analysis, NUMERICAL analysis, MACHINE learning, WATER hammer, PIPELINE failures, ELECTROSTATIC discharges, GENETIC programming

Operation Policies through Dynamic Programming and Genetic Algorithms, for a Reservoir with Irrigation and Water Supply Uses.

Authors: Mendoza Ramírez, Rosalva Arganis Juárez, Maritza Liliana Domínguez Mora, Ramón et al.

Source: Water Resources Management; Mar2021, Vol. 35 Issue 5, p1573-1586, 14p

Subject Terms: DYNAMIC programming, GENETIC programming, GENETIC algorithms, WATER supply, WATER use, RESERVOIRS

Geographic Terms: MICHOACAN de Ocampo (Mexico), MEXICO