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检索条件"主题词=Gene Expression Programming"
932 条 记 录,以下是421-430 订阅
排序:
Fatigue Life Prediction of FRP-Strengthened Reinforced Concrete Beams Based on Soft Computing Techniques
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MATERIALS 2025年 第2期18卷 230-230页
作者: Zhang, Zhimei Wang, Xiaobo Shanghai Univ Sch Mech & Engn Sci Dept Civil Engn Shanghai 200444 Peoples R China
This paper establishes fatigue life prediction models using the soft computing method to address insufficient parameter consideration and limited computational accuracy in predicting the fatigue life of fiber-reinforc... 详细信息
来源: 评论
DANCE: Distributed co-evolutionary design of velocity controllers for swarm intelligence robots in flocking and entrapping tasks
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SWARM AND EVOLUTIONARY COMPUTATION 2025年 94卷
作者: Wang, Chen Zhu, Cheng Zhu, Xianqiang Lei, Hongtao Zhang, Weiming Wu, Meng Natl Univ Def Technol Deya Rd Changsha 410073 Hunan Peoples R China Natl Key Lab informat Syst Engn Deya Rd Changsha 410073 Hunan Peoples R China
This study combined evolutionary algorithm and reinforcement learning to propose anew automated design method for generating swarm robots velocity controller model. It alternately evolves heterogeneous swarm and homog... 详细信息
来源: 评论
Machine learning-based prediction of elliptical double steel columns under compression loading
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JOURNAL OF BIG DATA 2025年 第1期12卷 1-43页
作者: Ren, Yang Isleem, Haytham F. Almoghaye, Walaa J. K. Hamed, Abdelrahman Kamal Jangir, Pradeep Arpita Tejani, Ghanshyam G. Ezugwu, Absalom E. Soliman, Ahmed A. City Univ Seattle Master Comp Sci Seattle WA 98102 USA Univ York Dept Comp Sci York YO10 5DD England Nanjing Univ Sci & Technol Dept Management Sci & Engn Nanjing 210094 Jiangsu Peoples R China Horus Univ Egypt Fac Engn Civil Engn Dept New Damietta 34517 Egypt Chandigarh Univ Univ Ctr Res & Dev Mohali 140413 India Al Ahliyya Amman Univ Hourani Ctr Appl Sci Res Amman 19328 Jordan Graph Era Hill Univ Dept Math Dehra Dun India Graph Era Deemed Be Univ Dept Comp Sci & Engn Dehra Dun Uttarakhand India Saveetha Inst Med & Tech Sci Saveetha Sch Engn Dept Biosci Chennai 602105 India Yuan Ze Univ Dept Ind Engn & Management Taoyuan Taiwan North West Univ Unit Data Sci & Comp 11Hofman St ZA-2520 Potchefstroom South Africa Future Univ Egypt Fac Engn & Technol Struct Engn & Construct Management Dept Cairo 11835 Egypt Chitkara Univ Chitkara Ctr Res & Dev Baddi 174103 Himachal Prades India
This paper presents a comprehensive investigation into the prediction of axial load capacity (P) for elliptical double steel columns (EDSCs) using a diverse set of machine learning models (MLMs). These include Artific... 详细信息
来源: 评论
Application of enhanced hybrid optimization models for discharge prediction of cosine sharp-crested weirs
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FLOW MEASUREMENT AND INSTRUMENTATION 2025年 102卷
作者: Akhgar, Samira Azimi, Amir H. Foroudi, Ali Lakehead Univ Dept Civil Engn Thunder Bay ON P7B 5E1 Canada Quchan Univ Technol Fac Engn Sci Dept Civil Engn Quchan Iran
The discharge coefficient plays a crucial role in estimation of discharge over sharp-crested weirs. This study employs various hybrid optimization algorithms to predict the discharge coefficient over half-cycle and fu... 详细信息
来源: 评论
Machine-learnt closure models based on computational space training frameworks for large-eddy simulations in natural convection
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INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER 2025年 236卷
作者: Liu, Liyuan Lav, Chitrarth Sandberg, Richard D. Univ Melbourne Dept Mech Engn Melbourne Vic 3010 Australia Ctr Proc Innovat Coxon Bldg John Walker Rd Sedgefield TS21 3FE England CFD Methodol Grp Racing Bulls Team Falmouth England
Natural convection heat transfer at very high Rayleigh numbers (Ra) Ra ) is a commonly occurring phenomenon in many industry applications. Practically, Large Eddy Simulations (LES) are often chosen as an economical me... 详细信息
来源: 评论
AI-powered optimization of engineered cementitious composites properties and CO2 emissions for sustainable construction
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CASE STUDIES IN CONSTRUCTION MATERIALS 2025年 22卷
作者: Chang, Qiuying Zhao, Chuanhai Alateah, Ali H. Alinsaif, Sadiq Sufian, Muhammad Ahmad, Ayaz Changchun Univ Architecture & Civil Engn Sch Civil Engn Changchun 130607 Jilin Peoples R China Univ Hafr Al Batin Coll Engn Dept Civil Engn Hafar al Batin 39524 Saudi Arabia Univ Hafr Al Batin Coll Comp Sci & Engn Hafar Al Batin 39524 Saudi Arabia Southeast Univ Sch Civil Engn Nanjing 210096 Peoples R China COMSATS Univ Islamabad Dept Civil Engn Abbottabad Campus Islamabad 22060 Pakistan
Machine learning (ML) approaches are ideal for meeting the complex requirements of structural elements, as they have shown tremendous potential for improving material performance and promoting sustainability in the bu... 详细信息
来源: 评论
Predictive modeling for durability characteristics of blended cement concrete utilizing machine learning algorithms
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CASE STUDIES IN CONSTRUCTION MATERIALS 2025年 22卷
作者: Fu, Bo Lei, Hua Ullah, Irfan El-Meligy, Mohammed El Hindi, Khalil Javed, Muhammad Faisal Ahmad, Furqan North Minzu Univ Coll Civil Engn Yinchuan 750021 Peoples R China Hohai Univ Dept Civil & Transportat Engn Nanjing Peoples R China Appl Sci Private Univ Appl Sci Res Ctr Amman Jordan Jadara Univ Res Ctr POB 733 Irbid Jordan King Saud Univ Coll Comp & Informat Sci Dept Comp Sci Riyadh 11543 Saudi Arabia GIK Inst Engn Sci & Technol Dept Civil Engn Swabi 23640 Pakistan Western Caspian Univ Baku Azerbaijan UNHCR Kabul Afghanistan
Chloride penetration and carbonation resistance are critical durability attributes that assess concrete's ability to withstand challenging environmental conditions. However, determining these parameters requires t... 详细信息
来源: 评论
MODELING AND OPTIMIZATION OF STANDARD CONCRETE CONTAINING GRANULE BLAST FURNACE SLAG: A gene expression MODELING BASED MULTI-RESPONSE WEIGHTED NON-LINEAR programming APPLICATION
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INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE 2018年 第4期25卷 490-506页
作者: Simsek, Baris Cankiri Karatekin Univ Fac Engn Dept Chem Engn Cankiri Turkey
In this study, gene expression models have been obtained for prediction of slump flow, 3rd day compressive strength, 7th day compressive strength and 28th day compressive strength of normal weight concrete containing ... 详细信息
来源: 评论
Optimized punching shear design in steel fiber-reinforced slabs: Machine learning vs. evolutionary prediction models
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ENGINEERING STRUCTURES 2025年 322卷
作者: Albostami, Asad S. Mohamad, Safaa A. Alzabeebee, Saif Al-Hamd, Rwayda Kh. S. Al-Bander, Baidaa Oryx Universal Coll Partnership Liverpool John Moo Sch Engn & Construct Doha Qatar Mustansiriyah Univ Coll Engn Highway & Transportat Engn Dept Baghdad Iraq Univ Al Qadisiyah Coll Engn Rd & Transport Engn Dept Al Diwaniyah Al Qadisiyah Iraq Keele Univ Sch Comp Newcastle ST5 5BG England Abertay Univ Fac Social & Appl Sci Dept Built Environm & Life Sci Dundee Scotland
This research paper focuses on utilizing Artificial Neural Networks (ANN), Multi-Objective genetic Algorithm Evolutionary Polynomial Regression (MOGA-EPR), and gene expression programming (GEP) to predict the punching... 详细信息
来源: 评论
A hybrid machine learning approach for predicting fiber-reinforced polymer-concrete interface bond strength
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2025年 148卷
作者: Wahab, Sarmed Salami, Babatunde Abiodun Danish, Hassan Nisar, Saad Alateah, Ali H. Alsubeai, Ali Univ Engn & Technol Taxila Dept Civil Engn Taxila Pakistan Cardiff Metropolitan Univ Cardiff Sch Management Cardiff CF5 2YB Wales HITEC Univ Taxila Dept Civil Engn Taxila Pakistan Univ Teknol PETRONAS Dept Civil & Environm Engn Perak Malaysia Univ Hafr Al Batin Coll Engn Dept Civil Engn POB 1803 Hafar al Batin 39524 Saudi Arabia Jubail Ind Coll Dept Civil Engn Royal Commiss Jubail Jubail Ind City 31961 Saudi Arabia
The interfacial bond strength between fiber-reinforced polymer (FRP) sheets and concrete is crucial for structural design. This study presented a novel approach using ensemble learning models to predict bond strength ... 详细信息
来源: 评论