Search Results - Multigene genetic programming algorithm~

Multigene genetic programming approach for modelling and optimisation of removal of heavy metals from ash pond water using cyanobacterial-microalgal consortium.

Authors: Sarkar, Biswajit Dutta, Susmita Lahiri, Sandip Kumar

Source: Indian Chemical Engineer; Oct2024, Vol. 66 Issue 5, p453-471, 19p

Subject Terms: GENETIC programming, HEAVY metals, MATHEMATICAL optimization, GENETIC algorithms, COAL ash

Analysis of inductive power transfer systems by metamodeling techniques

Authors: Pei, Yao Pichon, Lionel Bensetti, Mohamed et al.

Contributors: Pei, Yao Pichon, Lionel Bensetti, Mohamed et al.

Source: Comptes Rendus. Physique, Vol 25, Iss S1, Pp 125-139 (2024)

Subject Terms: Support vector regression, Wireless power transfer Metamodels Polynomial chaos expansions Support vector regression Multigene genetic programming algorithm. Mots-clés. Transfert d'énergie sans contact Métamodèles Développements du chaos polynomial Régression à vecteurs de support L, [SPI] Engineering Sciences [physics], Polynomial chaos expansions, Physics, QC1-999, Metamodels, Multigene genetic programming algorithm, Wireless power transfer

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Access URL: https://doaj.org/article/21642766a3ee419993539cc1b9b529f0

MeterGPX: A Smart Multimeter Embedded with Multigene Genetic Programming Model for Multiarray Antenna Transmitter.

Authors: Janairo, Adrian Genevie G. Baun, Jonah Jahara G. Chan, Johndel Garrison et al.

Source: Journal of Advanced Computational Intelligence & Intelligent Informatics. Jan2023, Vol. 27 Issue 1, p19-26. 8p.

Subject Terms: *GENETIC programming, *ANTENNAS (Electronics), *GENETIC models, *TRANSMITTERS (Communication), *MICROCONTROLLERS, *ANTENNA arrays

Fast Shielding Optimization of an Inductive Power Transfer System for Electric Vehicles

Authors: Pei, Yao Pichon, Lionel Le Bihan, Yann et al.

Contributors: Pei, Yao Pichon, Lionel Le Bihan, Yann et al.

Source: IEEE Access, Vol 10, Pp 91227-91234 (2022)

Subject Terms: polynomial chaos expansion, particle swarm algorithm, [SPI] Engineering Sciences [physics], 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Shielding design, inductive power transfer system, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, multigene genetic programming algorithm, 01 natural sciences, 7. Clean energy, TK1-9971

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Access URL: https://doaj.org/article/4fa6915607144d2e88fcfbcc6c5476cb

Determination of a pedotransfer function for specific air–water interfacial area in sandy soils: A pore network‐informed multigene genetic programming approach.

Authors: Mirghafari, Rasoul Nikooee, Ehsan Raoof, Amir et al.

Source: Vadose Zone Journal; Jul2024, Vol. 23 Issue 4, p1-20, 20p

Subject Terms: GENETIC programming, SANDY soils, DATABASES, GRAIN size, X-ray imaging, INTERFACIAL bonding, HYDROLOGY, POROSITY

Multigene Genetic Programming-Based Modeling for Evaluation of Liquefaction Potential of Soil Using Shear Wave Velocity.

Authors: Naik, Jajati Keshari Muduli, Pradyut Kumar Behera, Gopal Charan

Source: Transportation Infrastructure Geotechnology; Aug2025, Vol. 12 Issue 6, p1-18, 18p

Season Algorithm-Multigene Genetic Programming: A New Approach for Rainfall-Runoff Modelling.

Authors: Danandeh Mehr, Ali Nourani, Vahid

Source: Water Resources Management; Jun2018, Vol. 32 Issue 8, p2665-2679, 15p

Subject Terms: RAINFALL measurement, MATHEMATICAL models of hydrodynamics, RUNOFF, GENETIC programming, HYDROLOGY, PRECIPITATION forecasting, MATHEMATICAL models

A New Method for Reduction of Atomic Magnetometer Noise Based on Multigene Genetic Programming

Authors: Wei Quan Feng Liu Wenfeng Fan

Source: IEEE Access, Vol 7, Pp 67438-67445 (2019)

Subject Terms: Atomic magnetometer noise modeling, multigene genetic programming, sensitivity improvement, spin-exchange relaxation-free regime, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/8719912/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/3e4e68c8c3d3460f97845a271ef399d6

clusterExperiment and RSEC: A Bioconductor package and framework for clustering of single-cell and other large gene expression datasets

Authors: Risso, Davide Purvis, Liam Fletcher, Russell B et al.

Source: PLOS Computational Biology. 14(9)

Subject Terms: Biological Sciences, Bioinformatics and Computational Biology, Genetics, Human Genome, Bioengineering, Generic health relevance, Algorithms, Animals, Astrocytes, Biomarkers, Cluster Analysis, Computational Biology, Databases, Factual, Gene Expression Profiling, Gene Expression Regulation, Humans, Hypothalamus, Microglia, Multigene Family, Neurons, Olfactory Mucosa, Oligodendroglia, Programming Languages, Sequence Analysis, RNA, Software, Mathematical Sciences, Information and Computing Sciences, Bioinformatics

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Access URL: https://escholarship.org/uc/item/1bc8r1sr
https://escholarship.org/content/qt1bc8r1sr/qt1bc8r1sr.pdf

Application of multigene genetic programming and water evaporation optimization technique for modeling and optimization of removal of heavy metals from ash pond water using cyanobacterial consortium.

Authors: Sarkar, Biswajit Lahiri, Sandip Kumar Dutta, Susmita

Source: International Journal of Chemical Reactor Engineering; Mar2024, Vol. 22 Issue 3, p231-243, 13p

Subject Terms: GENETIC programming, HEAVY metals, MATHEMATICAL optimization, WATER use, THERMAL coal, COAL ash, TECHNOLOGICAL innovations, FLY ash

Discovering chemistry to creep rupture equations in Alloy 617 with machine learning.

Authors: Hossain, Md Abir Hao, Liangyan Xiong, Wei et al.

Source: Scientific Reports; 2/19/2025, Vol. 15 Issue 1, p1-18, 18p

Subject Terms: CREEP (Materials), GENETIC programming, MACHINE learning, MATHEMATICAL forms, PHASE diagrams

Strain-Rate Dependence of the Mechanical Properties of Cellular Lightweight Concrete: Experimental Study and Analytical Modeling with Multigene Genetic Programming.

Authors: Devi, Ningombam Reena Beura, Sambit Kumar Dhir, Prateek Kumar et al.

Source: Practice Periodical on Structural Design & Construction; Nov2023, Vol. 28 Issue 4, p1-14, 14p

Subject Terms: AIR-entrained concrete, GENETIC programming, GENETIC models, TENSILE strength, COMPRESSIVE strength, LIGHTWEIGHT concrete

Multigene Genetic-Programming-Based Models for Initial Dilution of Laterally Confined Vertical Buoyant Jets

Authors: Xiaohui Yan Abdolmajid Mohammadian

Source: Journal of Marine Science and Engineering, Vol 7, Iss 8, p 246 (2019)

Subject Terms: artificial intelligence, confined jet, mixing properties, multigene genetic programming, vertical buoyant jet, Naval architecture. Shipbuilding. Marine engineering, VM1-989, Oceanography, GC1-1581

File Description: electronic resource

Relation: https://www.mdpi.com/2077-1312/7/8/246; https://doaj.org/toc/2077-1312

Access URL: https://doaj.org/article/ee7f812c2d9e4a2ea36ad329b805a99e

A new model developed by multigene genetic programming for the temporal evolution of bridge pier scour.

Authors: Zhang, Wenjun Rennie, Colin D. Nistor, Ioan

Source: Canadian Journal of Civil Engineering; 2023, Vol. 50 Issue 7, p549-559, 11p

Subject Terms: BRIDGE foundations & piers, BRIDGE failures, GENETIC programming, ARTIFICIAL intelligence

Modeling Delays at Signalized Intersections under Mixed Traffic Conditions.

Authors: Beura, Sambit Kumar Rao, K. Ramachandra

Source: Journal of Transportation Engineering. Part A. Systems; Jul2025, Vol. 151 Issue 7, p1-13, 13p

Subject Terms: SIGNALIZED intersections, GENETIC programming, TIME delay estimation, ARTIFICIAL intelligence, FIELD research

Buckling Load Estimation Using Multiple Linear Regression Analysis and Multigene Genetic Programming Method in Cantilever Beams with Transverse Stiffeners.

Authors: Özbayrak, Ahmet Ali, Mohammed Kamal Çıtakoğlu, Hatice

Source: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ); Apr2023, Vol. 48 Issue 4, p5347-5370, 24p

Subject Terms: MULTIPLE regression analysis, GENETIC programming, MECHANICAL buckling, WOODEN beams, CANTILEVERS, LATERAL loads, COMPUTER engineering

Multiple Site Intraday Solar Irradiance Forecasting by Machine Learning Algorithms: MGGP and MLP Neural Networks

Authors: Gabriel Mendonça de Paiva Sergio Pires Pimentel Bernardo Pinheiro Alvarenga et al.

Source: Energies, Vol 13, Iss 11, p 3005 (2020)

Subject Terms: solar irradiance forecasting, multigene genetic programming, multilayer perceptron, artificial neural networks, short-term forecasting, intraday forecasting, Technology

File Description: electronic resource

Relation: https://www.mdpi.com/1996-1073/13/11/3005; https://doaj.org/toc/1996-1073

Access URL: https://doaj.org/article/649a32931fb04c298b587fc939bff48b

Estimation of Delay and Surrogate Conflicts in Automated Network Management Using Linear Regression and Multigene Genetic Programming.

Authors: Azadi, Farzaneh Mitrovic, Nikola Stevanovic, Aleksandar Z.

Source: Journal of Transportation Engineering. Part A. Systems; Jan2023, Vol. 149 Issue 1, p1-16, 16p

Subject Terms: TIME delay estimation, TRAFFIC assignment, PREDICTION models, NETWORK performance, REGRESSION analysis, GENETIC programming

Grape Pseudocercospora Leaf Specked Area Estimation Using Hybrid Genetic Algorithm and Recurrent Neural Network.

Authors: Alajas, Oliver John Y. Concepcion II, Ronnie S. Palconit, Maria Gemel B. et al.

Source: Journal of Advanced Computational Intelligence & Intelligent Informatics; Jan2023, Vol. 27 Issue 1, p35-43, 9p

Subject Terms: RECURRENT neural networks, GENETIC algorithms, FISHER discriminant analysis, LEAF area, COMPUTER vision

Genetic Testing in Young Adults With Cancer Study (Gen-Y)

Contributors: Katherine Nathanson, MD, Pearl Basser Professor of BRCA-Related Research; Deputy Director

Source: Randomized Trial of Universal vs. Guideline-directed Germline Testing Among Young Adults With Cancer
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Caswell-Jin JL, Zimmer AD, Stedden W, Kingham KE, Zhou AY, Kurian AW. Cascade Genetic Testing of Relatives for Hereditary Cancer Risk: Results of an Online Initiative. J Natl Cancer Inst. 2019 Jan 1;111(1):95-98. doi: 10.1093/jnci/djy147.
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