Suchergebnisse - "Hybrid Optimization Algorithm"

A multi-objective optimization strategy of microgrid energy management toward coordinated charging for electric vehicles and economic costing

Autoren: Wenyuan Sun Yingai Jin Firoz Alam et al.

Quelle: Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. 47:12032-12058

Schlagwörter: Multi-objective optimization, Microgrid energy management, Charging cost, Vehicle-to-grid, Electric vehicle (EV), Hybrid optimization algorithm, CO2 emissions, Renewable energy systems

Zugangs-URL: https://rgu-repository.worktribe.com/output/2873227

Q-learning enhanced differential evolution for feature selection in high-dimensional medical data analysis

Autoren: Chenliang Huang Mingjing Wang Heidari Ali Asghar et al.

Quelle: Journal of King Saud University: Computer and Information Sciences, Vol 37, Iss 9, Pp 1-38 (2025)

Schlagwörter: Feature selection, High-dimensional medical data, Q-learning mechanism, Differential evolution, Hybrid optimization algorithm, Binary version, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1319-1578; https://doaj.org/toc/2213-1248

Zugangs-URL: https://doaj.org/article/e06820a0911d49a3a2be7b8caa75a823

Optimal Trajectory Optimization of 7R Robot for Space Maintenance Operation

Autoren: Qidong Li Hehua Ju Pengfei Xiao et al.

Quelle: IEEE Access, Vol 13, Pp 122660-122670 (2025)

Schlagwörter: cubic spline, 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, Space robot, trajectory optimization, hybrid optimization algorithm, TK1-9971

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/6514899/09144494.pdf
https://doaj.org/article/78e00c9493c94a8ba5aceff053eaa0fe
https://ieeexplore.ieee.org/document/9144494/

WSNetDefender: Securing Wireless Sensor Networks Using BBIDNet and Fuzzy-DQN Threat Mitigation System (FD-TMS)

Autoren: Mohammed A. Aleisa

Quelle: IEEE Access, Vol 13, Pp 93439-93452 (2025)

Schlagwörter: cybersecurity, intrusion detection, deep learning, Electrical engineering. Electronics. Nuclear engineering, WSN, hybrid optimization algorithm, threat mitigation system, TK1-9971

Zugangs-URL: https://doaj.org/article/fdcb529330bb4e7dbab2c9b4af9d0646

ACO-NM hybrid optimization calculation method for transit time of oxygen activation logging in CO2 injection profile

Autoren: WANG Zhengyan, CHEN Meng, YANG Guofeng, LIU Guoquan, PEI Yang, CHEN Qiang

Quelle: Youqicang pingjia yu kaifa, Vol 15, Iss 4, Pp 605-612 (2025)

Schlagwörter: pulsed neutron oxygen activation logging, transit time, aco-nm hybrid optimization algorithm, activation spectrum, co2 injection profile, Petroleum refining. Petroleum products, TP690-692.5, Gas industry, TP751-762

Dateibeschreibung: electronic resource

Relation: https://red.magtech.org.cn/fileup/2095-1426/PDF/1752895877596-816515260.pdf; https://doaj.org/toc/2095-1426

Zugangs-URL: https://doaj.org/article/29239473809e4820bcc7838d53d3a602

Optimal fractional order automatic generation control including an excitation system for hybrid interconnected grids

Autoren: Awadh Ba Wazir Sultan Alghamdi Abdullah Ali Alhussainy et al.

Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-50 (2025)

Schlagwörter: AGC-AVR loops, Fractional order controller, Hybrid optimization algorithm, Hybrid AC/DC power system, Disturbance rejection, Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/a21770af751a4c4c82d636c17575cef9

Enhancing Urban Electric Vehicle (EV) Fleet Management Efficiency in Smart Cities: A Predictive Hybrid Deep Learning Framework

Autoren: Mohammad Aldossary

Quelle: Smart Cities, Vol 7, Iss 6, Pp 3678-3704 (2024)

Schlagwörter: smart cities, route optimization, dynamic fleet management, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, deep learning, 02 engineering and technology, EV charging load forecasting, TA1-2040, Engineering (General). Civil engineering (General), hybrid optimization algorithm

Zugangs-URL: https://doaj.org/article/7202b30c6d48406b9e58d4fe4e18d7c6

Fuzzy PID Controller for Injection Speed of Injection Molding Machine Based on GAPSO Optimization

Autoren: ZHANG Shaokun, SHEN Jiaming, HU Yanhai, FU Ting, WANG Zhouting

Quelle: Jisuanji gongcheng, Vol 51, Iss 5, Pp 239-248 (2025)

Schlagwörter: servo motor, injection molding machine, injection speed, fuzzy pid, genetic particle swarm algorithm, hybrid optimization algorithm, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Dateibeschreibung: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/20250524.pdf; https://doaj.org/toc/1000-3428

Zugangs-URL: https://doaj.org/article/ca23839343c44bc9bdb19a1dc6367990

A New Flood Routing Framework Based on Modified Muskingum Model and Nature‐Based Optimization Algorithms

Autoren: Mahdi Valikhan Anaraki Saeed Farzin

Quelle: Journal of Flood Risk Management, Vol 18, Iss 3, Pp n/a-n/a (2025)

Schlagwörter: adaptive lateral flow, HSOA, hybrid optimization algorithm, natural‐based optimization algorithm, non‐linear Muskingum model, PCOA, River protective works. Regulation. Flood control, TC530-537, Disasters and engineering, TA495

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1753-318X

Zugangs-URL: https://doaj.org/article/9fec8b2bd3f74f598b350544a98f204a

Server deployment strategies considering robustness and resource constraints in edge computing

Autoren: Junjie Cao Zhiyong Yu Min Cao et al.

Quelle: Journal of Cloud Computing: Advances, Systems and Applications, Vol 14, Iss 1, Pp 1-24 (2025)

Schlagwörter: Edge computing, Edge server deployment, Robustness, Hybrid optimization algorithm, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2192-113X

Zugangs-URL: https://doaj.org/article/5475ba1aa7f841efb1e650c393efd0cd

Dynamic Parameter Identification Method for Space Manipulators Based on Hybrid Optimization Strategy

Autoren: Haitao Jing Xiaolong Ma Meng Chen et al.

Quelle: Actuators, Vol 14, Iss 10, p 497 (2025)

Schlagwörter: space manipulator, dynamic parameter identification, space friction modeling, hybrid optimization algorithm, microgravity effects, Materials of engineering and construction. Mechanics of materials, TA401-492, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2076-0825/14/10/497; https://doaj.org/toc/2076-0825

Zugangs-URL: https://doaj.org/article/1efdf01ef5e94b03aa4356c9d61b3c42

A Hybrid Optimization Method for Rebar Cutting in Structural Reinforcement

Autoren: Jindong Zhang Xiaoming Chen Fanghong Lv

Quelle: Buildings, Vol 15, Iss 20, p 3693 (2025)

Schlagwörter: structural reinforcement, rebar cutting optimization, hybrid optimization algorithm, Building construction, TH1-9745

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2075-5309/15/20/3693; https://doaj.org/toc/2075-5309

Zugangs-URL: https://doaj.org/article/7a637d7d7d5545da9e7849bafd8d0466

A Hybrid Sparrow Search Optimized Fractional Virtual Inertia Control for Frequency Regulation of Multi-Microgrid System

Autoren: Bashar Abbas Fadheel Noor Izzri Abdul Wahab Premkumar Manoharan et al.

Quelle: IEEE Access, Vol 12, Pp 45879-45903 (2024)

Schlagwörter: renewable energy resources, demand response control, 0211 other engineering and technologies, 02 engineering and technology, load frequency control, 7. Clean energy, TK1-9971, Virtual inertia control, power system stability, 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, hybrid optimization algorithm

Dateibeschreibung: text

Zugangs-URL: https://doaj.org/article/321e95f331734b7da5079cefed09aad3

Hybrid sine cosine and spotted Hyena based chimp optimization for PI controller tuning in microgrids

Autoren: Saleem Mohammad S. D. Sundarsingh Jeebaseelan

Quelle: Scientific Reports, Vol 14, Iss 1, Pp 1-29 (2024)

Schlagwörter: Hybrid optimization algorithm, Sine-Cosine Algorithm (SCA), Spotted Hyena Optimizer (SHO), Chimp optimization algorithm (ChOA), Proportional-integral (PI) controllers, Microgrid, Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/491fef27b2d54be1ae1f49a3def5381f

Research on Dual-Loop ADRC for PMSM Based on Opposition-Based Learning Hybrid Optimization Algorithm

Autoren: Longda Wang Zhang Wu Yang Liu et al.

Quelle: Algorithms, Vol 18, Iss 9, p 559 (2025)

Schlagwörter: PMSM, dual-loop active disturbance rejection control, opposition-based learning hybrid optimization algorithm, tracking accuracy, disturbance rejection capability, Industrial engineering. Management engineering, T55.4-60.8, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1999-4893/18/9/559; https://doaj.org/toc/1999-4893

Zugangs-URL: https://doaj.org/article/614db5dee6f44dd1bb36a25e6b956278

Load frequency control in autonomous microgrids using hybrid Algorithm GWO-CS based fuzzy logic sliding mode controller

Autoren: Abdessamade Bouaddi Reda Rabeh Mohammed Ferfra

Quelle: Results in Engineering, Vol 25, Iss , Pp 104412- (2025)

Schlagwörter: Load Frequency Control, Fuzzy logic Sliding Mode, Autonomous Microgrid, Renewable Energy Sources, Hybrid optimization algorithm, Technology

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S259012302500492X; https://doaj.org/toc/2590-1230

Zugangs-URL: https://doaj.org/article/f065598653df4fc69ca69f0bbcae50f7

A Novel Grey Prediction Model: A Hybrid Approach Based on Extension of the Fractional Order Discrete Grey Power Model with the Polynomial-Driven and PSO-GWO Algorithm

Autoren: Baohua Yang Xiangyu Zeng Jinshuai Zhao

Quelle: Fractal and Fractional ; Volume 9 ; Issue 2 ; Pages: 120

Schlagwörter: discrete grey power model, polynomial-driven, fractional-order accumulation, hybrid optimization algorithm, renewable energy consumption forecast

Dateibeschreibung: application/pdf

Relation: Engineering; https://dx.doi.org/10.3390/fractalfract9020120

Verfügbarkeit: https://doi.org/10.3390/fractalfract9020120

A Combined Calibration Method for Workpiece Positioning in Robotic Machining Systems and a Hybrid Optimization Algorithm for Improving Tool Center Point Calibration Accuracy

Autoren: Daxian Hao Gang Zhang Huan Zhao et al.

Quelle: Applied Sciences ; Volume 15 ; Issue 3 ; Pages: 1033

Schlagwörter: robotic machining, hybrid optimization algorithm, sphere-to-sphere TCP calibration, combined calibration

Geographisches Schlagwort: agris

Dateibeschreibung: application/pdf

Relation: Robotics and Automation; https://dx.doi.org/10.3390/app15031033

Verfügbarkeit: https://doi.org/10.3390/app15031033

Multi-energy System Planning and Configuration Study for Low-Carbon Parks Based on Comprehensive Optimization Objectives

Autoren: Yang WANG Fei LU Ji LI et al.

Quelle: Zhongguo dianli, Vol 57, Iss 4, Pp 14-24 (2024)

Schlagwörter: low-carbon park, composite energy system, optimal configuration, integrated optimization objective, hybrid optimization algorithm, Electricity, QC501-721, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

Dateibeschreibung: electronic resource

Relation: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202306117; https://doaj.org/toc/1004-9649

Zugangs-URL: https://doaj.org/article/83f13c0f432e419a96b3f6fb3e2689a8

A Hybrid Multi-Strategy Optimization Metaheuristic Algorithm for Multi-Level Thresholding Color Image Segmentation

Autoren: Amir Seyyedabbasi

Quelle: Applied Sciences, Vol 15, Iss 13, p 7255 (2025)

Schlagwörter: hybrid optimization algorithm, multi-strategy, multi-level thresholding, image segmentation, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2076-3417/15/13/7255; https://doaj.org/toc/2076-3417

Zugangs-URL: https://doaj.org/article/d48574f5b96548b7860ca1f4a0ae97c1