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GENETIC_ALGORITHM: 作品数：1291被引量：3031H指数：17; 导出分析报告; 相关作者：朱剑英李敏强寇纪淞孙志峻沈庭芝更多>>; 相关机构：南京航空航天大学北京理工大学东南大学清华大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家高技术研究发展计划国家重点基础研究发展计划中国博士后科学基金更多>>

Multi-Objective Optimization Method for Performance Prediction Loss Model of Centrifugal Compressors: 《Journal of Thermal Science》2025年第2期590-606,共17页ZHANG Lei FENG Xueheng YUAN Wei CHEN Ruilin ZHANG Qian LI Hongyang AN Guangyao LANG Jinhua; supports of National Natural Science Foundation of China(Grant No.52076079);Natural Science Foundation of Hebei Province,China(Grant No.E2020502013);Fundamental Research Funds for the Central Universities,China(Grant No.2021MS079/Grant No.2022MS081)。; The selection of loss models has a significant effect on the one-dimensional mean streamline analysis for obtaining the performance of centrifugal compressors.In this study,a set of optimized loss models is proposed b...; 关键词：loss model centrifugal compressor mean streamline analysis performance prediction Genetic Algorithm

Multi-Objective Optimization of Swirling Impinging Air Jets with Genetic Algorithm and Weighted Sum Method: 《Frontiers in Heat and Mass Transfer》2025年第1期71-94,共24页Sudipta Debnath Zahir Uddin Ahmed Muhammad Ikhlaq Md.Tanvir Khan Avneet Kaur Kuljeet Singh Grewal; Impinging jet arrays are extensively used in numerous industrial operations,including the cooling of electronics,turbine blades,and other high-heat flux systems because of their superior heat transfer capabilities.Opt...; 关键词：Jet impingement multi-objective optimization pareto front NSGA-II WSM

Rockburst Intensity Prediction based on Kernel Extreme Learning Machine(KELM): 《Acta Geologica Sinica(English Edition)》2025年第1期284-295,共12页XIAO Yidong QI Shengwen GUO Songfeng ZHANG Shishu WANG Zan GONG Fengqiang; funded by National Natural Science Foundation of China(Grants Nos.41825018 and 42141009);the Second Tibetan Plateau Scientific Expedition and Research Program(Grants No.2019QZKK0904)。; As one of the most serious geological disasters in deep underground engineering,rockburst has caused a large number of casualties.However,because of the complex relationship between the inducing factors and rockburst ...; 关键词：rockburst intensity prediction kernel extreme learning machine genetic algorithm cross-entropy method

Automatic and Rapid Throughflow-Based Optimal Design Method for Multi-Stage Axial-Flow Compressors: 《Journal of Thermal Science》2025年第1期77-91,共15页LEI Fan ZHANG Xiawen JU Yaping ZHANG Chuhua; financially supported by the National Science and Technology Major Project of China(Grant No.2017-Ⅱ-0006-0020);National Key Research and Development Project of China(Grant No.2016YFB0200901);National Natural Science Foundation of China(Grant No.51776154);Shaanxi Key Research and Development Project(Grant No.2018KWZ-01)。; Throughflow design has the advantages of less time consumption and large optimization space,and thus is the corner stone of advanced design system of multi-stage axial-flow compressors.The majority of relevant studies...; 关键词：multi-stage axial-flow compressor throughflow design empirical correlations genetic algorithm aerodynamic optimization

Comparison of the feedback linearization plus LQR controller and the PID controller for greenhouse indoor climate: 《International Journal of Agricultural and Biological Engineering》2025年第1期74-82,共9页Kidist Ameha Mengesha Gang-Gyoo Jin Yung-Deug Son; Greenhouse environmental control systems can improve the growth and quality of the plants within greenhouses by keeping a constant environment.Greenhouse climate is a multi-input multi-output system that is significan...; 关键词：GREENHOUSE climate control feedback linearization plus LQR control PID control genetic algorithm

Optimal Planning of Multiple PV-DG in Radial Distribution Systems Using Loss Sensitivity Analysis and Genetic Algorithm: 《Journal of Power and Energy Engineering》2025年第2期1-22,共22页A. Elkholy; This paper introduces an optimized planning approach for integrating photovoltaic as distributed generation (PV-DG) into the radial distribution power systems, utilizing exhaustive load flow (ELF), loss sensitivity fa...; 关键词：Photovoltaic Systems Distributed Generation Multiple Allocation and Sizing Power Losses Radial Distribution System Genetic Algorithm

Probabilistic Assessment of PV-DG for Optimal Multi-Locations and Sizing Using Genetic Algorithm and Sequential-Time Power Flow: 《Journal of Power and Energy Engineering》2025年第2期23-42,共20页A. Elkholy; This paper presents an optimized strategy for multiple integrations of photovoltaic distributed generation (PV-DG) within radial distribution power systems. The proposed methodology focuses on identifying the optimal ...; 关键词：Photovoltaic Distributed Generation PROBABILITY Genetic Algorithm Radial Distribution Systems Time Series Power Flow

Optimizing Stand-Alone PV Systems:A Metaheuristic-Enhanced Fuzzy Approach for Adaptive MPPT: 《China Communications》2025年第1期61-74,共14页Tina Samavat Mostafa Nazari Lin Fuhong Lei Yang; This paper introduces a simple yet effective approach for developing fuzzy logic controllers(FLCs)to identify the maximum power point(MPP)and optimize the photovoltaic(PV)system to extract the maximum power in differe...; 关键词：genetic algorithm imperialist competitive algorithm invasive weed algorithm maximum power point tracking

Multi-objective optimization of laser perforated fuel filter parameters based on artificial neural network and genetic algorithm: 《Particuology》2025年第1期57-70,共14页Yifan Wang Tianyi Zhang Lei Chen Wenquan Tao; supported by the Natural Science Basic Research Program of Shaanxi(grant No.2024JC-JCQN-48);the Project of Shaanxi Innovative Talent Promotion Plan-Technology Innovation Team(grant No.2024RS-CXTD-35).; In precise fuel circuit systems, the filtration of particulate impurities seriously affects the efficiency and service life of various components. For filtration process intensification of high-pressure fuel laser per...; 关键词：Fuel filter Multiphase flow Neural network Genetic algorithm Multi-objective optimization PARTICLE

A data-based inverse problem-solving method for predicting structural orderings: 《Frontiers of Structural and Civil Engineering》2025年第1期22-33,共12页Yiwen LI Jianlong CHEN Guangyan LIU Zhanli LIU Kai ZHANG; supported by the National Natural Science Foundation of China(Grant Nos.11991030,11991031,and 11972205).; Inverse problem-solving methods have found applications in various fields,such as structural mechanics,acoustics,and non-destructive testing.However,accurately solving inverse problems becomes challenging when observe...; 关键词：mechanical inverse problem displacement information completion digital structural orderings data-based method genetic algorithm

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