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261
Coordinated Control of PV Generation and EVs Charging Based on Improved DECell Algorithm
Published 2015-01-01“…By integrating the meshing method into differential evolution cellular (DECell) genetic algorithm, an improved differential evolution cellular (IDECell) genetic algorithm was presented to solve the multiobjective optimization model. …”
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262
Multi-objective optimization of grinding process parameters for complicated worm space surface based on the grey wolf optimization algorithm
Published 2025-02-01“…The optimized grinding process parameters reduce the grinding time by 17.41%, improve the grinding surface quality by 4.46%, and reduce the grinding cost by 1.12% compared with the conventional machining scheme. …”
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263
Research on Adaptive Optics Image Restoration Algorithm by Improved Expectation Maximization Method
Published 2014-01-01“…To improve the effect of adaptive optics images’ restoration, we put forward a deconvolution algorithm improved by the EM algorithm which joints multiframe adaptive optics images based on expectation-maximization theory. …”
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264
Multi-Objective Improved Differential Evolution Algorithm-Based Smart Home Energy Management System Considering Energy Storage System, Photovoltaic, and Electric Vehicle
Published 2025-01-01“…A multi-objective improved differential evolution algorithm is used to solve the HEMSs. …”
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265
Performance Assessment of Solar-Transformer-Consumption System Using Neural Network Approach
Published 2022-08-01Get full text
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266
Minimum cost of job assignment in polynomial time by adaptive unbiased filtering and branch-and-bound algorithm with the best predictor
Published 2025-06-01“…The minimum cost of job assignment (Min-JA) is one of the practical NP-hard problems to manage the optimization in science-and-engineering applications. …”
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267
Lightweight Apple Leaf Disease Detection Algorithm Based on Improved YOLOv8
Published 2024-09-01“…The experimental results showed that adding MSDA at the small target layer in the Neck layer achieved the best effect, not only improving model performance but also maintaining low computational cost and model size, providing important references for the optimization of the MSDA mechanism. …”
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268
Microgrid Energy Management Considering Energy Storage Degradation Cost
Published 2025-04-01“…The improved sine cosine algorithm (SCA) is used to simulate the energy output optimization of various distributed generators in the microgrid. …”
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269
Optimizing capacitor bank placement in distribution networks using a multi-objective particle swarm optimization approach for energy efficiency and cost reduction
Published 2025-04-01“…The novelty of this work lies in the application of the MOPSO algorithm to optimize capacitor bank placement, considering multiple objectives such as energy loss reduction, voltage stability, and cost savings, which differentiates it from conventional approaches. …”
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270
Analysis method combining improved AE algorithm and signal reconstruction in mechanical faults
Published 2025-07-01“…The memory usage test findings denoted that the average memory usage of the research model was less than 46%, which was better than the control model.DiscussionThe research promotes innovation and optimization of mechanical fault diagnosis technology, improves the accuracy and timeliness of fault diagnosis analysis models, and is of great significance for ensuring production safety, reducing maintenance costs, and improving enterprise economic benefits.…”
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271
Improved machine classification algorithm for electric rail circuits in train warning systems
Published 2019-12-01“…In this article, we present an improved classification algorithm, which combines the simplicity of implementation and accuracy. …”
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272
A Lightweight Detection Method for Meretrix Based on an Improved YOLOv8 Algorithm
Published 2025-06-01“…To address this issue, this paper proposes a lightweight detection method, YOLOv8-RFD, based on an improved YOLOv8 algorithm, tailored for clam sorting applications. …”
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273
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274
Detecting Planting Holes Using Improved YOLO-PH Algorithm with UAV Images
Published 2025-07-01“…In practical applications for detecting indistinct boundary planting holes within complex scenarios, our algorithm consistently outperforms other detection networks with exceptional precision (F1-score = 0.95), low computational cost, rapid detection speed, and robustness, thus laying a solid foundation for advancing precision agriculture.…”
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275
A Betweenness Calibration Topology Optimal Control Algorithm for Wireless Sensor Networks
Published 2013-09-01“…Based on the complex network theory, this paper proposed a novel betweenness addition edges expansion algorithm (BAEE). With betweenness calibration, BAEE algorithm expanded the minimum-cost edges to optimize the network topology. …”
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276
Optimization Strategies for Electric Vehicles: A Review of Evolutionary, Swarm, and Hybrid Algorithms
Published 2025-01-01“…Future research directions include exploring hybrid algorithms and adaptive optimization approaches to further improve EV performance.…”
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277
Low-cost fabrication and comparative evaluation of machine learning algorithms for flexible PDMS-based hexagonal patch antenna
Published 2025-08-01“…To accelerate the design process and determine the most effective model for predicting optimal geometrical parameters that yield improved impedance matching at the target frequency, four supervised machine learning algorithms including Random Forest, XGBoost, CatBoost and LightGBM were evaluated and compared. …”
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278
Optimal azimuth positioning algorithm for base station antenna based on Gaussian distribution
Published 2018-07-01Get full text
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279
Computer-Aided Quantum Algorithms for Real-Time Energy Market Trading
Published 2025-01-01Get full text
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280
Regression Test Suite Minimization Using Modified Artificial Ecosystem Optimization Algorithm
Published 2021-01-01“…This paper proposes an effective approach for regression test suite minimization using Artificial Ecosystem Optimization algorithm. To improve its performance a modified Artificial Ecosystem Optimization algorithm is proposed for Test case minimization. …”
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