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OPTIMIZER: 作品数：290被引量：352H指数：9; 导出分析报告; 相关领域：自动化与计算机技术更多>>; 相关作者：王亚娟胡媛严岩缪纲王源更多>>; 相关机构：诺基亚西门子通信技术有限公司中国矿业大学（北京）天津科技大学山东师范大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划广东省自然科学基金中国科学院知识创新工程领域前沿项目更多>>

Machine Learning Model for Wind Power Forecasting Using Enhanced Multilayer Perceptron: 《Computers, Materials & Continua》2025年第5期2287-2303,共17页Ahmed A.Ewees Mohammed A.A.Al-Qaness Ali Alshahrani Mohamed Abd Elaziz; the Deanship of Graduate Studies and Scientific Research at University of Bisha,Saudi Arabia for funding this research work through the Promising Program under Grant Number(UB-Promising-42-1445).; Wind power forecasting plays a crucial role in optimizing the integration of wind energy into the grid by predicting wind patterns and energy output.This enhances the efficiency and reliability of renewable energy sys...; 关键词：Wind power forecasting multilayer perceptron fire hawk optimizer non-monopolize search

Ensemble of Deep Learning with Crested Porcupine Optimizer Based Autism Spectrum Disorder Detection Using Facial Images: 《Computers, Materials & Continua》2025年第5期2793-2807,共15页Jagadesh Balasubramani Surendran Rajendran Mohammad Zakariah Abeer Alnuaim; Researchers supporting Project number(RSPD2025R1107),King Saud University,Riyadh,Saudi Arabia.; Autism spectrum disorder(ASD)is a multifaceted neurological developmental condition that manifests in several ways.Nearly all autistic children remain undiagnosed before the age of three.Developmental problems affecti...; 关键词：Autism spectrum disorder ensemble learning crested porcupine optimizer facial images computeraided diagnosis

Multi-Strategy Grey Wolf Optimization Algorithm for Global Optimization and Engineering Applications: 《Journal of Systems Science and Systems Engineering》2025年第2期203-230,共28页Likai Wang Qingyang Zhang Shengxiang Yang Yongquan Dong; supported by the National Natural Science Foundation of China under Grants Nos.62006103 and 61872168;in part by the Postgraduate research and practice innovation program of Jiangsu Province under Grand No.KYCX24_3057;in part by the Postgraduate Research and Practice Innovation Program of Jiangsu Normal University under Grand Nos.2024XKT2643 and 2024XKT2642;in part by Xuzhou Basic Research Program under Grand No.KC23025;in part by the Royal Society International Exchanges Scheme IECVNSFCV211404;in part by China Scholarship Council under Grand No.202310090064.; The grey wolf optimizer(GWO),a population-based meta-heuristic algorithm,mimics the predatory behavior of grey wolf packs.Continuously exploring and introducing improvement mechanisms is one of the keys to drive the d...; 关键词：Grey wolf optimizer variable weights reverse learning chain predation rotation predation

Parameters Estimation of Modified Triple Diode Model of PSCs Considering Charge Accumulations and Electric Field Effects Using Puma Optimizer: 《Computer Modeling in Engineering & Sciences》2025年第4期723-745,共23页Amlak Abaza Ragab A.El-Sehiemy Mona Gafar Ahmed Bayoumi; supported via funding from Prince Sattam Bin Abdulaziz University project number(PSAU/2025/R/1446).; Promoting the high penetration of renewable energies like photovoltaic(PV)systems has become an urgent issue for expanding modern power grids and has accomplished several challenges compared to existing distribution g...; 关键词：Dynamic model of PSCs puma optimizer parameter estimation triple diode model

Slope stability prediction of circular mode failure by machine learning models based on Bayesian Optimizer: 《Journal of Mountain Science》2025年第4期1482-1498,共17页Mohammad Hossein KADKHODAEI Ebrahim GHASEMI Mohammad Hossein FAZEL; Assessing the stability of slopes is one of the crucial tasks of geotechnical engineering for assessing and managing risks related to natural hazards,directly affecting safety and sustainable development.This study pr...; 关键词：Slope stability Circular failure Machine learning Bayesian optimizer Hybrid models

Applications of Advanced Optimized Neuro Fuzzy Models for Enhancing Daily Suspended Sediment Load Prediction: 《Computer Modeling in Engineering & Sciences》2025年第4期1249-1272,共24页Rana Muhammad Adnan Mo Wang Adil Masood Ozgur Kisi Shamsuddin Shahid Mohammad Zounemat-Kermani; supported by the National Natural Science Foundation of China(52350410465);the General Projects of Guangdong Natural Science Research Projects(2023A1515011520).; Accurate daily suspended sediment load(SSL)prediction is essential for sustainable water resource management,sediment control,and environmental planning.However,SSL prediction is highly complex due to its nonlinear an...; 关键词：Suspended sediment load prediction NEURO-FUZZY gradient-based optimizer ANFIS

Hybrid Reptile-Snake Optimizer Based Channel Selection for Enhancing Alzheimer’s Disease Detection: 《Journal of Bionic Engineering》2025年第2期884-900,共17页Digambar Puri Pramod Kachare Smith Khare Ibrahim Al-Shourbaji Abdoh Jabbari Abdalla Alameen; The global incidence of Alzheimer's Disease(AD)is on a swift rise.The Electroencephalogram(EEG)signals is an effective tool for the identification of AD and its initial Mild Cognitive Impairment(MCI)stage using machin...; 关键词：Alzheimer's Disease Brain disorder ELECTROENCEPHALOGRAM Reptile Search Algorithm Snake Optimizer Optimization

CCHP-Type Micro-Grid Scheduling Optimization Based on Improved Multi-Objective Grey Wolf Optimizer: 《Energy Engineering》2025年第3期1137-1151,共15页Yu Zhang Sheng Wang Fanming Zeng Yijie Lin; supported by the Open Fund of Guangxi Key Laboratory of Building New Energy and Energy Conservation(Project Number:Guike Energy 17-J-21-3).; With the development of renewable energy technologies such as photovoltaics and wind power,it has become a research hotspot to improve the consumption rate of new energy and reduce energy costs through algorithm impro...; 关键词：MULTI-OBJECTIVE optimization algorithm hybrid energy storage MICRO-GRID CCHP

Application of the improved dung beetle optimizer,muti-head attention and hybrid deep learning algorithms to groundwater depth prediction in the Ningxia area,China: 《Atmospheric and Oceanic Science Letters》2025年第1期18-23,共6页Jiarui Cai Bo Sun Huijun Wang Yi Zheng Siyu Zhou Huixin Li Yanyan Huang Peishu Zong; supported by the National Natural Science Foundation of China [grant numbers 42088101 and 42375048]。; Due to the lack of accurate data and complex parameterization,the prediction of groundwater depth is a chal-lenge for numerical models.Machine learning can effectively solve this issue and has been proven useful in th...; 关键词：Groundwater depth Multi-head attention Improved dung beetle optimizer CNN-LSTM CNN-GRU Ningxia

Recalibration of four empirical reference crop evapotranspiration models using a hybrid Differential Evolution-Grey Wolf Optimizer algorithm: 《International Journal of Agricultural and Biological Engineering》2025年第1期173-180,共8页Long Zhao Shuo Yang Xinbo Zhao Yi Shi Shiming Feng Xuguang Xing Shuangchen Chen; supported by the National Natural Science Foundation of China(Grant No.52309050 and Grant No.32372680);the Key R&D and Promotion Projects in Henan Province(Science and Technology Development)(Grant No.232102110264);the Key Scientific Research Projects of Colleges and Universities in Henan Province(Grant No.24B416001);the Innovative Research Team(Science and Technology)in University of Henan Province(Grant No.23IRTSTHN024);the Youth Backbone Teacher Project of Henan University of Science and Technology(Grants No.13450013 and 13450010).; Accurate estimation of reference crop evapotranspiration(ET_(0))is essential for water resource management and irrigation scheduling.A multitude of empirical models have been employed to estimate ET_(0),yielding satis...; 关键词：reference crop evapotranspiration empirical model nine agricultural regions of China hybrid algorithm Brutsaert-Stricker

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