Search Results - Multi-expression based Gene expression programming

Predictive modeling for depth of wear of concrete modified with fly ash: A comparative analysis of genetic programming-based algorithms

Authors: Khan, Adil Khan, Majid Ali, Mohsin et al.

Source: Case Studies in Construction Materials. 20

Subject Terms: Fly ash, Abrasion resistance, Gene expression programming, Multi-expression programming, SHAP, Operation and Maintenance Engineering, Drift och underhållsteknik

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-103256
https://doi.org/10.1016/j.cscm.2023.e02744

Analyzing the viability of agro-waste for sustainable concrete: Expression-based formulation and validation of predictive models for strength performance

Authors: Alsharari Fahad Nassar Roz-Ud-Din Alshammari Talal O. et al.

Source: Reviews on Advanced Materials Science, Vol 64, Iss 1, Pp id. 127828-1710 (2025)

Subject Terms: agricultural waste-based concrete, gene and multi expression programming, compressive and tensile strength, Technology, Chemical technology, TP1-1185

File Description: electronic resource

Relation: https://doaj.org/toc/1605-8127

Access URL: https://doaj.org/article/9fda902b68b048d3a0a18e3557c423e8

基于改进的多表达式编程算法的 木材染色配方预测.

Alternate Title: Prediction of Wood Dyeing Formula Based on Improved Multi Expression Programming Algorithm.

Authors: 管雪梅 张威 杨渠三

Source: Science Technology & Engineering. 2025, Vol. 25 Issue 7, p2865-2873. 9p.

Leveraging waste-based additives and machine learning for sustainable mortar development in construction

Authors: Zhang Yi Zhang Qizhi Alqurashi Muwaffaq et al.

Source: Reviews on Advanced Materials Science, Vol 64, Iss 1, Pp pp. 453-465 (2025)

Subject Terms: rubberized mortar, sustainable construction materials, gene and multi-expression programming, Technology, Chemical technology, TP1-1185

File Description: electronic resource

Relation: https://doaj.org/toc/1605-8127

Access URL: https://doaj.org/article/15430320318c4d499654cdb384df1ade

Development of predictive models for sustainable concrete via genetic programming-based algorithms

Authors: Lingling Chen Zhiyuan Wang Aftab Ahmad Khan et al.

Source: Journal of Materials Research and Technology, Vol 24, Iss , Pp 6391-6410 (2023)

Subject Terms: Waste foundry sand, Gene expression programming, Multi-expression programming, Solid waste, Sustainable construction, Mining engineering. Metallurgy, TN1-997

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S223878542300875X; https://doaj.org/toc/2238-7854

Access URL: https://doaj.org/article/2c19f4157dac4a5783e01fb212c785c8

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

Authors: Hong-Hu Chu Mohsin Ali Khan Muhammad Javed et al.

Source: Ain Shams Engineering Journal, Vol 12, Iss 4, Pp 3603-3617 (2021)

Subject Terms: Artificial intelligence (AI), Gene expression programming (GEP), Multi expression programming (MEP), Fly-ash, Waste material, Geopolymer concrete (GPC), Engineering (General). Civil engineering (General), TA1-2040

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2090447921001830; https://doaj.org/toc/2090-4479

Access URL: https://doaj.org/article/5a4058d33bd748e8b41479e25320ab54

Multi-Expression Based Gene Expression Programming

Authors: Wei Deng Pei He Zhi Huang

Source: Lecture Notes in Electrical Engineering ISBN: 9783642384653

Access URL: https://rd.springer.com/chapter/10.1007/978-3-642-38466-0_49
https://link.springer.com/chapter/10.1007/978-3-642-38466-0_49/fulltext.html
https://link.springer.com/chapter/10.1007%2F978-3-642-38466-0_49

Intelligent prediction modeling for flexural capacity of FRP-strengthened reinforced concrete beams using machine learning algorithms

Authors: Khan, Majid Khan, Adil Khan, Asad Ullah et al.

Source: Heliyon. 10(1)

Subject Terms: Fiber-reinforced polymers, Flexural capacity, Machine learning, Gene expression programming, Multi-expression programming, Operation and Maintenance Engineering, Drift och underhållsteknik

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-103262
https://doi.org/10.1016/j.heliyon.2023.e23375

MERGE: A Novel Evolutionary Algorithm Based on Multi Expression Gene Programming

Authors: Shucheng Dai Yu Chen Mingfang Zhu et al.

Source: 2008 Fourth International Conference on Natural Computation. :320-324

Subject Terms: 0301 basic medicine, 03 medical and health sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: http://teacher.scu.edu.cn/ftp_teacher0/chjtang/paper_doc/2008/Daishucheng-MERGE-ICNC2008.pdf
https://dblp.uni-trier.de/db/conf/icnc/icnc2008-1.html#DaiTZCCQL08
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004666862
https://ieeexplore.ieee.org/document/4666862/

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

Authors: Chu, Hong-Hu Khan, Mohsin Ali Javed, Muhammad et al.

Source: Ain Shams Engineering Journal. Dec2021, Vol. 12 Issue 4, p3603-3617. 15p.

Subject Terms: Compressive strength, Thermal coal, Nonlinear regression, Forecasting, Concrete, Soluble glass

Predicting the Oil Well Production Based on Multi Expression Programming

Authors: Xin Ma Zhibin Liu

Source: The Open Petroleum Engineering Journal. 9:21-32

Subject Terms: 2. Zero hunger, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0204 chemical engineering

Access URL: http://benthamopen.com/contents/pdf/TOPEJ/TOPEJ-9-21.pdf
https://openpetroleumengineeringjournal.com/VOLUME/9/PAGE/21/PDF/
https://openpetroleumengineeringjournal.com/VOLUME/9/PAGE/21/FULLTEXT/
https://benthamopen.com/FULLTEXT/TOPEJ-9-21

An evolutionary-based predictive soft computing model for the prediction of electricity consumption using multi expression programming

Authors: Alireza Fallahpour Kuan Yew Wong Srithar Rajoo et al.

Source: Journal of Cleaner Production. 283:125287

Subject Terms: 13. Climate action, 11. Sustainability, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, TJ Mechanical engineering and machinery, 02 engineering and technology, 7. Clean energy, 12. Responsible consumption

Access URL: https://www.sciencedirect.com/science/article/pii/S0959652620353324

Compressive strength of waste-derived cementitious composites using machine learning

Authors: Tian Qiong Lu Yijun Zhou Ji et al.

Source: Reviews on Advanced Materials Science, Vol 63, Iss 1, Pp id. 126-573 (2024)

Subject Terms: marble cement, gene expression programming, multi-expression programming, Technology, Chemical technology, TP1-1185

File Description: electronic resource

Relation: https://doaj.org/toc/1605-8127

Access URL: https://doaj.org/article/997426993f224dc48c30f0fa368790e8

Gene expression programming for logic circuit design

Authors: Masimula, Steven Mandla

Thesis Advisors: Hardy, Yorick,1976

Subject Terms: Logic circuit design, Genetic algorithms, Genetic programming, Gene expression programming, Multi expression programming, Improved gene expression programming, Improved multi expression programming, Cartesian genetic programming, Automatically defined function, Multi-expression based Gene expression programming, 621.3950285, Gene expression, Logic circuits, Computer-aided design, Algorithms, Computer programs, Design and construction

File Description: 1 online resource (viii, 57 leaves) ; illustrations, graphs

Availability: http://hdl.handle.net/10500/23617

Interpretable machine learning approaches to assess the compressive strength of metakaolin blended sustainable cement mortar

Authors: Naseer Muhammad Khan Liqiang Ma Waleed Bin Inqiad et al.

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-30 (2025)

Subject Terms: Cement mortar, Metakaolin, Interpretable machine learning, Gene expression programming, Compressive strength, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/ff0bd2103a1e4aa78aa218bf12e51a80

Prediction of Pile Setup for Driven Pipe Piles in Fine-Grained Soils Using Gene Expression Programming.

Authors: Alzahrani, Saeed Bilgin, Ömer

Source: Geotechnical & Geological Engineering; Aug2023, Vol. 41 Issue 6, p3605-3624, 20p

Subject Terms: GENE expression, MULTIPLE regression analysis, DYNAMIC loads, SOILS, STEEL pipe, SOIL dynamics

Predictive modeling for durability characteristics of blended cement concrete utilizing machine learning algorithms

Authors: Bo Fu Hua Lei Irfan Ullah et al.

Source: Case Studies in Construction Materials, Vol 22, Iss , Pp e04209- (2025)

Subject Terms: Blended cement concrete, Machine learning, Gene expression programming, Multiple expression programming, Materials of engineering and construction. Mechanics of materials, TA401-492

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2214509525000087; https://doaj.org/toc/2214-5095

Access URL: https://doaj.org/article/a32d71e404fc44c5b9e2ab5e2980dec7

Prediction of Enhanced Soil–Anchored Geogrid Interactions in Direct Shear Mode Using Gene Expression Programming.

Authors: Abdi, Mahmood Reza Nakhaei, Pouria Safdari Seh Gonbad, Mahdi

Source: Geotechnical & Geological Engineering; Feb2021, Vol. 39 Issue 2, p957-972, 16p

Subject Terms: GENE expression, REINFORCED soils, SOIL structure, COST estimates, SENSITIVITY analysis, SHEAR strength of soils, SOIL sampling

Comparative study of genetic programming-based algorithms for predicting the compressive strength of concrete at elevated temperature

Authors: Abdulaziz Alaskar Ghasan Alfalah Fadi Althoey et al.

Source: Case Studies in Construction Materials, Vol 18, Iss , Pp e02199- (2023)

Subject Terms: Materials of engineering and construction. Mechanics of materials, TA401-492

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2214509523003790; https://doaj.org/toc/2214-5095

Access URL: https://doaj.org/article/1850e4dd4c544198bcae75b1cc99e123

Genetic programming-based algorithms application in modeling the compressive strength of steel fiber-reinforced concrete exposed to elevated temperatures

Authors: Mohsin Ali Li Chen Qadir Bux Alias Imran Latif Qureshi et al.

Source: Composites Part C: Open Access, Vol 15, Iss , Pp 100529- (2024)

Subject Terms: SFRC, Elevated temperature, Machine learning, Compressive strength, Predictive model, Materials of engineering and construction. Mechanics of materials, TA401-492

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2666682024000987; https://doaj.org/toc/2666-6820

Access URL: https://doaj.org/article/c733f1b36a9b4069a07b8ed63b79fbad