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722
Optimization of Torque Models for Radial Meshing Nutation Magnetic Gears Based on the Genetic Algorithm
Published 2023-10-01“…The genetic algorithm is used to optimize the structural parameters of the nutation magnetic gear, and the effectiveness of the optimization results is verified. …”
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723
Prediction of Urban Scale Expansion Based on Genetic Algorithm Optimized Neural Network Model
Published 2022-01-01“…The genetic algorithm is improved by immune cloning algorithm, and the CGA-BP neural network model is established to obtain the global optimal solution. …”
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724
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725
Impact of Optimization Algorithm Choice on Nonlinear Global Model for Photovoltaic Energy Generation Forecasting
Published 2024-06-01“…The article explores the relevance of choosing the optimization algorithm to obtain accurate parameter estimates in photovoltaic (PV) systems, with the aim of improving the energy efficiency of solar energy. …”
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726
Video Refereeing Model of Soccer Match Based on Fuzzy Clustering and Cuckoo Optimization Algorithm
Published 2024-01-01“…To address this issue, the research utilizes sinusoidal mapping and the simplex method to enhance the cuckoo algorithm. Additionally, the optimization accuracy is improved through sinusoidal adaptive discovery probability. …”
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727
An improved human evolutionary optimization algorithm for maximizing green hydrogen generation in intelligent energy management system (IEMS)
Published 2025-09-01“…These algorithms include Sinh Cosh Optimization (SCHO), Chimp Optimization (Chimp), Improved Sine Cosine Algorithm (ISCA), Improved Grey Wolf Optimization (IGWO), and Coati Optimization Algorithm (COA). …”
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728
VOLTAGE PROFILE IMPROVEMENT WITH APPLICATION OF DIFFERENTLY OPTIMIZED FACTS CONTROLLERS
Published 2024-12-01“…This research work presents a novel individual and Hybrid MGA and IGWO was utilized to develop FACTS-controlled optimization model for improvement of bus voltage profiles. …”
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729
Research on pose estimation algorithm of non-cooperative target tracked vehicles based on PnP model
Published 2025-03-01“…Finally, the pose equation is solved by finding the local minimum of the cost function through algebraic optimization, thus avoiding convergence issues in iterative optimization. …”
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730
PID Control of Multisources Complex Excitations Active Vibration Isolation System: An Improved Particle Swarm Optimization Algorithm
Published 2016-01-01“…Furthermore, this paper also sets up the acceleration feedback-based PID control model for multisources complex excitations active vibration isolation system, proposes an improved particle swarm optimization (PSO) algorithm of dynamic inertia weight factors used to optimize parameters of the built PID control model, and conducts simulation analysis. …”
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731
A brief comparison of algorithms and methods for optimization of electric vehicles charging strategies
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732
Model Optimization for High-Yield Biocrude in Co-Hydrothermal Liquefaction of Municipal Sludge
Published 2025-04-01“…After training with the Levenberg-Marquardt algorithm, the model′s R2 significantly improved to 0.9989, demonstrating the superiority of neural networks in modeling nonlinear complex systems. …”
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733
Energy Management of Electric–Hydrogen Coupled Integrated Energy System Based on Improved Proximal Policy Optimization Algorithm
Published 2025-07-01“…However, the inherent uncertainties of renewable energy sources present significant challenges to optimal energy management in the EHCS. To address these challenges, this paper proposes an energy management method for the EHCS based on an improved proximal policy optimization (IPPO) algorithm. …”
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734
Modeling of 3 SAT discrete Hopfield neural network optimization using genetic algorithm optimized K-modes clustering
Published 2024-09-01“…Subsequently, the paper presented a DHNN-3SAT model optimized by genetic algorithms combined with K-modes clustering. …”
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735
Improved Monthly Runoff Prediction of OSELM Based on Secondary Decomposition Technique and Optimization of Ten "Bird" Swarm Algorithms
Published 2025-01-01“…To improve the accuracy of monthly runoff time series prediction and enhance the performance of online sequential extreme learning machine (OSELM) prediction, ten "bird" swarm algorithms were compared and validated for optimization, including satin bowerbird optimizer (SBO)/Harris hawks optimization (HHO)/seagull optimization algorithm (SOA)/African vultures optimization algorithm (AVOA)/coot optimization algorithm (COOT)/pelican optimization algorithm (POA)/eagle perching optimization (EPO)/osprey optimization algorithm (OOA). …”
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736
Prediction Model for Compaction Quality of Earth-Rock Dams Based on IFA-RF Model
Published 2025-04-01“…The method utilizes a dynamic inertia weight, an adaptive factor, and a differential evolution strategy to enhance the search capability of the firefly algorithm. Furthermore, the random forest (RF) algorithm’s <i>Ntree</i> and <i>Mtry</i> parameters are adaptively optimized through the improved firefly algorithm (IFA) to develop a dam compaction quality prediction model. …”
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737
Knowledge reasoning and strategy optimization for ship operation and maintenance based on digital twin and improved KD tree algorithm
Published 2025-04-01“…Based on the database, a method for ship O&M knowledge reasoning and strategy generation using an improved KD tree algorithm is proposed. Neighboring cases are weighted using Gaussian distance weighting, and the whale optimization algorithm (WOA) is used to optimize the characteristic attributes of ship equipment to achieve accurate knowledge reasoning. …”
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SCSO: snake optimization with sine-cosine algorithm for parameter extraction of solar photovoltaic models
Published 2025-04-01“…The proposed algorithm incorporates three key improvements: (1) integration of the Sine–Cosine Algorithm to enhance the bio-inspired Snake Optimization, balancing exploration and exploitation; (2)The parameters C 1 and C 2 are adaptively adjusted, and the Newton–Raphson method is introduced to accelerate the algorithm’s convergence speed which accelerates convergence; and (3) application of a lens imaging reverse learning strategy to improve exploration capabilities and population diversity, preventing the algorithm from becoming trapped in local optima. …”
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740
Optimization of Rendering Parameters of Cesium 3DTiles Model Based on Differential Evolution Algorithm
Published 2025-01-01“…In this paper, we proposed a multi-strategy probabilistic discrete differential evolution algorithm (MSPDDE) for finding the optimal values of the rendering parameters of Cesium 3DTiles model, which increases the search space and improves the convergence speed by introducing multiple mutation strategies. …”
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