META-HEURISTIC

作品数：54被引量：162H指数：5
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相关领域：自动化与计算机技术更多>>
相关机构：上海交通大学更多>>
相关期刊：《Guidance, Navigation and Control》《Journal of Bionic Engineering》《Journal of Applied Mathematics and Physics》《International Journal of Intelligence Science》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更多>>
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Multi-Objective Approaches for Optimizing 37-Bus Power Distribution Systems with Reconfiguration Technique:From Unbalance Current&Voltage Factor to Reliability Indices
《Computer Modeling in Engineering & Sciences》2025年第4期673-721,共49页Murat Cikan 
supported by the Scientific and Technological Research Council of Turkey(TUBITAK)under Grant No.124E002(1001-Project).
This study examines various issues arising in three-phase unbalanced power distribution networks(PDNs)using a comprehensive optimization approach.With the integration of renewable energy sources,increasing energy dema...
关键词：Unbalanced power distribution network line and customer reliability index unbalance voltage and current index meta-heuristic optimization active power loss 
Double-Layer Optimization Mechanism for Multi-Area OPF Considering Valve-Point Loading Effect
《CSEE Journal of Power and Energy Systems》2025年第2期683-691,共9页Jizhong Zhu Cong Zeng Yun Liu Xuancong Xu 
supported by the National Natural Science Foundation of China(52177087);High-end Foreign Experts Project(G2022163018L);Guangdong Basic and Applied Basic Research Foundation(2024A1515030192).
In terms of the multi-area optimal power flow (OPF) problem, the optimized objectives are always a fuel cost function expressed by a second-order polynomial. However, the valve-point loading effect, whose cost curve i...
关键词：Distributed computation platform distributed meta-heuristic optimization algorithm double-layer optimization mechanism multi-area optimal powerflow 
Advanced Machine Learning and Gene Expression Programming Techniques for Predicting CO_(2)-Induced Alterations in Coal Strength
《Computer Modeling in Engineering & Sciences》2025年第4期153-183,共31页Zijian Liu Yong Shi ChuanqiLi Xiliang Zhang Jian Zhou Manoj Khandelwal 
partially supported by the National Natural Science Foundation of China(42177164,52474121);the Outstanding Youth Project of Hunan Provincial Department of Education(23B0008).
Given the growing concern over global warming and the critical role of carbon dioxide(CO_(2))in this phenomenon,the study of CO_(2)-induced alterations in coal strength has garnered significant attention due to its im...
关键词：CO_(2)-induced coal strength meta-heuristic optimization algorithms XGBoost gene expression programming model interpretability 
Human Observation-Inspired Universal Image Acquisition Paradigm Integrating Multi-Objective Motion Planning and Control for Robotics
《IEEE/CAA Journal of Automatica Sinica》2024年第12期2463-2475,共13页Haotian Liu Yuchuang Tong Zhengtao Zhang 
supported in part by the National Natural Science Foundation of China(62303457,U21A20482);China Postdoctoral Science Foundation(2023M733737);the National Key Research and Development Program of China(2022YFB3303800)。
Image acquisition stands as a prerequisite for scrutinizing surfaces inspection in industrial high-end manufacturing.Current imaging systems often exhibit inflexibility,being confined to specific objects and encounter...
关键词：Industrial robotics human observation-inspired meta-heuristic recurrent neural network motion planning and control universal image acquisition 
Image Segmentation Model for Vicinagearth Security Technology of Unmanned Aerial Vehicle Using Improved Pigeon-Inspired Optimization
《Guidance, Navigation and Control》2024年第3期11-44,共34页Hang Su Yongbin Sun Zhigang Zeng Haibin Duan 
The vicinagearth security technology system covers a wide range of fields such as low-altitude security, underwater security, and cross-domain security. Among them, unmanned aerial vehicle(UAV) security will become on...
关键词：Vicinagearth security technology system unmanned aerial vehicle(UAV) recognition of maritime small-target image segmentation META-HEURISTIC pigeon-inspired optimization(PIO) 
A Q-Learning Based Hybrid Meta-Heuristic for Integrated Scheduling of Disassembly and Reprocessing Processes Considering Product Structures and Stochasticity被引量：1
《Complex System Modeling and Simulation》2024年第2期184-209,共26页Fuquan Wang Yaping Fu Kaizhou Gao Yaoxin Wu Song Gao 
This work was in part supported by the Science and Technology Development Fund(FDCT),Macao SAR,(No.0019/2021/A);Shandong Province Outstanding Youth Innovation Team Project of Colleges and Universities(No.2020RWG011),National Natural Science Foundation of China(Nos.62173356 and 61703320);Natural Science Foundation of Shandong Province(No.ZR202111110025);Guangdong Basic and Applied Basic Research Foundation(No.2023A1515011531);Zhuhai Industry-University-Research Project with Hongkong and Macao(No.ZH22017002210014PWC).
Remanufacturing is regarded as a sustainable manufacturing paradigm of energy conservation and environment protection.To improve the efficiency of the remanufacturing process,this work investigates an integrated sched...
关键词：remanufacturing scheduling DISASSEMBLY REPROCESSING META-HEURISTIC Q-LEARNING 
Geyser Inspired Algorithm:A New Geological-inspired Meta-heuristic for Real-parameter and Constrained Engineering Optimization被引量：4
《Journal of Bionic Engineering》2024年第1期374-408,共35页Mojtaba Ghasemi Mohsen Zare Amir Zahedi Mohammad-Amin Akbari Seyedali Mirjalili Laith Abualigah 
Over the past years,many efforts have been accomplished to achieve fast and accurate meta-heuristic algorithms to optimize a variety of real-world problems.This study presents a new optimization method based on an unu...
关键词：Nature-inspired algorithms Real-world and engineering optimization Mathematical modeling Geyser algorithm(GEA) 
An Improved Lung Cancer Segmentation Based on Nature-Inspired Optimization Approaches
《Computer Modeling in Engineering & Sciences》2024年第2期1051-1075,共25页Shazia Shamas Surya Narayan Panda Ishu Sharma Kalpna Guleria Aman Singh Ahmad Ali AlZubi Mallak Ahmad AlZubi 
the Researchers Supporting Project(RSP2023R395),King Saud University,Riyadh,Saudi Arabia.
The distinction and precise identification of tumor nodules are crucial for timely lung cancer diagnosis andplanning intervention. This research work addresses the major issues pertaining to the field of medical image...
关键词：LESION lung cancer segmentation medical imaging META-HEURISTIC Artificial Bee Colony(ABC) Cuckoo Search Algorithm(CSA) Particle Swarm Optimization(PSO) Firefly Algorithm(FFA) SEGMENTATION 
On Layout Optimization of Wireless Sensor Network Using Meta-Heuristic Approach
《Computer Systems Science & Engineering》2023年第9期3685-3701,共17页Abeeda Akram Kashif Zafar Adnan Noor Mian Abdul Rauf Baig Riyad Almakki Lulwah AlSuwaidan Shakir Khan 
This research has been funded by the Deanship of Scientific Research at Imam Mohammad Ibn Saud Islamic University through Research Group No.RG-21-07-09.
One of the important research issues in wireless sensor networks(WSNs)is the optimal layout designing for the deployment of sensor nodes.It directly affects the quality of monitoring,cost,and detection capability of W...
关键词：Wireless sensor networks OPTIMIZATION COVERAGE genetic algorithms particle swarm optimization 
Meta-Heuristic Optimized Hybrid Wavelet Features for Arrhythmia Classification
《Intelligent Automation & Soft Computing》2023年第7期745-761,共17页S.R.Deepa M.Subramoniam R.Swarnalatha S.Poornapushpakala S.Barani 
The non-invasive evaluation of the heart through EectroCardioG-raphy(ECG)has played a key role in detecting heart disease.The analysis of ECG signals requires years of learning and experience to interpret and extract ...
关键词：Arrhythmia classification abnormal heartbeats WAVELETS meta-heuristics algorithm neural network signal classification 
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