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721
Optimization of New Energy Vehicle Industry Structure Based on Optimization Link Prediction Similarity Algorithm and CGE
Published 2025-01-01“…In light of the growing global concerns over energy and climate change, new energy vehicles are confronted with both opportunities and challenges posed by industrial structural transformation. To foster the optimization of the new energy vehicle industry structure while considering environmental impact, this paper first uses an improved link prediction algorithm to construct an industrial structure optimization model. …”
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722
Integrating Machine Learning Algorithms: A Hybrid Model for Lung Cancer Outcome Improvement
Published 2025-04-01Get full text
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723
Diagnosis model for action problems of table tennis beginners based on improved DTW algorithm
Published 2025-12-01“…To enhance the skills of beginners, a diagnosis model for table tennis beginner movement problems based on sensors and an improved dynamic time-warping algorithm is proposed. …”
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724
Research on the Development Model of Rural Tourism Based on Multiobjective Planning and Intelligent Optimization Algorithm
Published 2022-01-01“…In order to improve the effect of rural tourism development, this study combines multiobjective planning and intelligent optimization algorithms to analyze the development mode of rural tourism and further deals with the problem of multisensor target tracking under unknown input interference conditions by designing a tourism network consensus algorithm. …”
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725
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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726
Analysis of Power Generation Potential of Kaidu River Cascade Hydropower Stations Based on Simulation-Optimization Dispatching Framework
Published 2024-01-01“…A multi-objective optimization dispatching model was created, and it was solved by using an improved NSGA-II algorithm. …”
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727
Analysis of Power Generation Potential of Kaidu River Cascade Hydropower Stations Based on Simulation-Optimization Dispatching Framework
Published 2025-02-01“…A multi-objective optimization dispatching model was created, and it was solved by using an improved NSGA-II algorithm. …”
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728
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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729
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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730
Energy management strategy for hybrid electric vehicle based on improved PPO algorithm
Published 2025-06-01“…In order to improve the economy of power-split hybrid electric vehicle (HEV),a longitudinal dynamics model of the entire HEV vehicle was established,and an energy management strategy (EMS) based on strategy entropy optimization with an improved proximal policy optimization (PPO) algorithm was proposed. …”
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731
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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732
Deep learning for algorithmic trading: A systematic review of predictive models and optimization strategies
Published 2025-07-01“…This systematic literature review explores recent advancements in the application of DL algorithms to algorithmic trading with a focus on optimizing financial market predictions. …”
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733
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734
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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735
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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736
A brief comparison of algorithms and methods for optimization of electric vehicles charging strategies
Published 2025-06-01Get full text
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737
An integrated vehicle routing model to optimize agricultural products distribution in retail chains
Published 2024-03-01“…Numerical experiments showcase the efficiency of the proposed algorithm in solving real-world VRP problems. Moreover, the proposed VRP model achieves a 19% reduction in daily distribution costs, including a 24% saving in fuel costs. …”
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738
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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739
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740
Territorial Space Optimization Method Based on Multi-Objective Genetic Algorithm and FLUS Model
Published 2025-01-01“…The innovation of the research lies in the optimization of the multi-objective genetic algorithm by improving the crossover and mutation process of genetic operators, enhancing the adaptability of the algorithm in dynamic environments, and improving the prediction accuracy of the spatial quantity structure of the national territory. …”
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