METAHEURISTIC

作品数:92被引量:103H指数:5
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相关领域:自动化与计算机技术更多>>
相关作者:王茜李默李小平朱夏更多>>
相关机构:哈尔滨工业大学东南大学更多>>
相关期刊:《Geoscience Frontiers》《Clean Energy》《International Journal of Digital Earth》《Journal of Power and Energy Engineering》更多>>
相关基金:国家自然科学基金国家社会科学基金国家高技术研究发展计划中国博士后科学基金更多>>
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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 
Artificial Circulation System Algorithm:A Novel Bio-Inspired Algorithm
《Computer Modeling in Engineering & Sciences》2025年第1期635-663,共29页NerminÖzcan Semih Utku Tolga Berber 
Metaheuristics are commonly used in various fields,including real-life problem-solving and engineering applications.The present work introduces a novel metaheuristic algorithm named the Artificial Circulatory System A...
关键词:BIO-INSPIRED EVOLUTIONARY HEURISTIC METAHEURISTIC OPTIMIZATION 
A new integrated intelligent computing paradigm for predicting joints shear strength
《Geoscience Frontiers》2024年第6期176-193,共18页Shijie Xie Zheyuan Jiang Hang Lin Tianxing Ma Kang Peng Hongwei Liu Baohua Liu 
This paper gets its funding from Projects(42277175);supported by National Natural Science Foundation of China,Project(2023JJ30657);supported by Hunan Provincial Natural Science Foundation of China and the National Key Research,Hunan Provincial Department of natural resources geological exploration project(BSDZSB43202403);The First National Natural Disaster Comprehensive Risk Survey in Hunan Province(2022-70;the National Key Research and Development Program of China-2023 Key Special Project(No.2023YFC2907400).
Joints shear strength is a critical parameter during the design and construction of geotechnical engineering structures.The prevailing models mostly adopt the form of empirical functions,employing mathematical regress...
关键词:Rock discontinuities Joints shear strength Metaheuristic optimization algorithms Machine learning 
Using the Novel Wolverine Optimization Algorithm for Solving Engineering Applications
《Computer Modeling in Engineering & Sciences》2024年第12期2253-2323,共71页Tareq Hamadneh Belal Batiha Omar Alsayyed Frank Werner Zeinab Monrazeri Mohammad Dehghani Kei Eguchi 
This paper introduces the Wolverine Optimization Algorithm(WoOA),a biomimetic method inspired by the foraging behaviors of wolverines in their natural habitats.WoOA innovatively integrates two primary strategies:scave...
关键词:Optimization BIO-INSPIRED WOLVERINE EXPLOITATION exploration METAHEURISTIC 
Novel rockburst prediction criterion with enhanced explainability employing CatBoost and nature-inspired metaheuristic technique
《Underground Space》2024年第6期101-118,共18页Yingui Qiu Jian Zhou 
partially supported by the National Natural Science Foundation of China(Grant No.42177164);the Distinguished Youth Science Foundation of Hunan Province of China(Grant No.2022JJ10073);the Outstanding Youth Project of Hunan Provincial Department of Education(Grant No.23B0008).
Rockburst is a major challenge to hard rock engineering at great depth.Accurate and timely assessment of rockburst risk can avoid unnecessary casualties and property losses.Despite the existence of various methods for...
关键词:Rockburst criterion CatBoost Metaheuristic optimization Model interpretation Graphical user interface 
A Method Based on Plants Light Absorption Spectrum and Its Use for Data Clustering
《Journal of Bionic Engineering》2024年第6期3004-3040,共37页Behnam Farnad Kambiz Majidzadeh Mohammad Masdari Amin Babazadeh Sangar 
Nature-inspired optimization algorithms refer to techniques that simulate the behavior and ecosystem of living organisms or natural phenomena.One such technique is the“Photosynthesis Spectrum Algorithm,”which was de...
关键词:Data clustering Photosynthesis spectrum algorithm Nature-inspired algorithm METAHEURISTIC 
Metaheuristic-Driven Two-Stage Ensemble Deep Learning for Lung/Colon Cancer Classification
《Computers, Materials & Continua》2024年第9期3855-3880,共26页Pouyan Razmjouei Elaheh Moharamkhani Mohamad Hasanvand Maryam Daneshfar Mohammad Shokouhifar 
This study investigates the application of deep learning,ensemble learning,metaheuristic optimization,and image processing techniques for detecting lung and colon cancers,aiming to enhance treatment efficacy and impro...
关键词:Lung cancer colon cancer feature selection electric eel foraging optimization deep learning ensemble learning 
Application of Stork Optimization Algorithm for Solving Sustainable Lot Size Optimization
《Computers, Materials & Continua》2024年第8期2005-2030,共26页Tareq Hamadneh Khalid Kaabneh Omar Alssayed Gulnara Bektemyssova Galymzhan Shaikemelev Dauren Umutkulov Zoubida Benmamoun Zeinab Monrazeri Mohammad Dehghani 
This research is funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan,Grant No.AP19674517.
The efficiency of businesses is often hindered by the challenges encountered in traditional Supply Chain Manage-ment(SCM),which is characterized by elevated risks due to inadequate accountability and transparency.To a...
关键词:OPTIMIZATION supply chain management sustainable lot size optimization BIO-INSPIRED METAHEURISTIC STORK 
Magnificent Frigatebird Optimization: A New Bio-Inspired Metaheuristic Approach for Solving Optimization Problems
《Computers, Materials & Continua》2024年第8期2721-2741,共21页Tareq Hamadneh Khalid Kaabneh Ibraheem AbuFalahah Gulnara Bektemyssova Galymzhan Shaikemelev Dauren Umutkulov Sayan Omarov Zeinab Monrazeri Frank Werner Mohammad Dehghani 
This research is funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan(Grant No.AP19674517).
This paper introduces a groundbreaking metaheuristic algorithm named Magnificent Frigatebird Optimization(MFO),inspired by the unique behaviors observed in magnificent frigatebirds in their natural habitats.The founda...
关键词:OPTIMIZATION METAHEURISTIC magnificent frigatebirds exploration EXPLOITATION 
Predicting Rock Burst in Underground Engineering Leveraging a Novel Metaheuristic-Based LightGBM Model
《Computer Modeling in Engineering & Sciences》2024年第7期229-253,共25页Kai Wang Biao He Pijush Samui Jian Zhou 
Rock bursts represent a formidable challenge in underground engineering,posing substantial risks to both infrastructure and human safety.These sudden and violent failures of rock masses are characterized by the rapid ...
关键词:Rock burst prediction LightGBM coati optimization algorithm pelican optimization algorithm partial dependence plot 
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