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2581
Integrated energy, environmental, and economic optimization for energy management systems in PHEVs considering traffic conditions
Published 2025-07-01“…To achieve this, a plug-in hybrid electric vehicle is modeled based on the Samand vehicle using experimental data. A genetic algorithm is then employed to perform sizing optimization of the components. …”
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2582
Comparison of MPPT optimization methods for P&O and PSO solar panels to overcome partial shading
Published 2024-11-01“…The objective is to determine the most appropriate MPPT algorithm to optimize the efficiency of solar panels. …”
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2583
Overlapping Decentralized Control Strategies of Building Structures’ Vibration with Time Delay Based on H∞ Control Algorithms under Seismic Excitation
Published 2021-01-01“…The feedback gain matrixes of all subsystems are obtained by this method based on genetic algorithm optimization tools and the specific goal of optimization control. …”
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2584
Hybrid multi-objective optimization of µ-synthesis robust controller for frequency regulation in isolated microgrids
Published 2025-01-01“…The controller is optimized using multi-objective particle swarm optimization (MOPSO) and multi-objective genetic algorithm (MOGA) under inequality constraints, employing a Pareto front to identify optimal solutions. …”
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2585
Optimal Autonomous Control for Distribution Transformer Area With High Photovoltaic Penetration Based on CSBO-LSTM
Published 2025-01-01“…The model takes maximizing PV power consumption as the core objective, while considering voltage stability regulation and minimum network loss, to construct a multi-objective optimization function. …”
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2586
Application of artificial intelligence and red-tailed hawk optimization for boosting biohydrogen production from microalgae
Published 2024-11-01“…Subsequently, the red-tailed hawk algorithm (RTH) is used to determine the optimal values for the process parameters, corresponding to maximum hydrogen yield. …”
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2587
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2588
Improved Phase Diversity Wavefront Sensing with a Deep Learning-Driven Hybrid Optimization Approach
Published 2025-03-01“…To address these challenges, this paper proposes a hybrid PDWS method that integrates deep learning with nonlinear optimization to improve efficiency and accuracy. The deep learning model provides an initial estimate of wavefront aberrations, which is further refined by the L-BFGS optimization algorithm to achieve high-precision reconstruction. …”
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2589
Stability Analysis and Support Optimization of Tunnel Surrounding Rock with Weak Interlayer Based on Catastrophe Theory
Published 2025-02-01“…Finally, to minimize support construction costs, an optimization model is established by integrating the Particle Swarm Optimization (PSO) algorithm and the Radial Basis Function (RBF) neural network. …”
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2590
Integrated optimization of train stopping plans and timetabling for urban rail transit based on dynamic demand
Published 2025-03-01“…A case study using the NSGA-II algorithm shows that the optimized solution significantly alleviates station congestion compared to the all-stop plan. …”
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2591
Energy-Efficient Power Optimization with Spectrum Sensing Errors in OFDMA Cognitive Opportunistic Relay Links
Published 2016-02-01“…We propose a novel algorithm to optimize the energy efficiency (EE) of OFDM-based cognitive opportunistic relaying links (CORL) under secondary users (SUs) incorrectly sensing the unlicensed spectrum. …”
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2592
Optimized Configuration of Manufacturing Resources for Middle and Lower Batch Customization Enterprises in Cloud Manufacturing Environment
Published 2020-01-01“…This method effectively realizes the optimal configuration of manufacturing resources in the cloud manufacturing environment, while maximizing the interests of both suppliers and demanders.…”
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2593
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2594
AsymGroup: Asymmetric Grouping and Communication Optimization for 2D Tensor Parallelism in LLM Inference
Published 2025-01-01“…In addition, we introduce a formal communication cost model to accurately quantify bottlenecks and a group optimization algorithm to systematically determine efficient group configurations. …”
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2595
An Optimal Charging Strategy for PV-Based Battery Swapping Stations in a DC Distribution System
Published 2017-01-01“…Then, a particle swarm optimization (PSO) algorithm is developed to calculate the optimal charging power and to minimize the charging cost for each time slot. …”
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2596
Energy-Efficient Train Operation Optimization Method for Urban Rail Intervals Based on Curve Splicing
Published 2025-01-01“…A two-layer iterative optimization algorithm is designed based on the simulated annealing framework. …”
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2597
Optimal Scheduling of Biomass-Hybrid Microgrids with Energy Storage: An LSTM-PMOEVO Framework for Uncertain Environments
Published 2025-03-01“…Finally, a public dataset was utilized for the experiments to verify the performance of the proposed algorithm. Comparisons and discussions show that the proposed optimization strategies significantly improve the performance of PMOEVO, demonstrating marked advantages over six classical algorithms. …”
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2598
Research and Experimental Verification of an Efficient Subframe Lightweighting Method Integrating SIMP Topology and Size Optimization
Published 2025-07-01“…A topology optimization model was established using the Solid Isotropic Material with Penalization (SIMP) method and solved using the Method of Moving Asymptotes (MMA) algorithm. …”
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2599
Adaptive RFID Data Scheduling Using Proximal Policy Optimization for Reducing Data Processing Latency
Published 2025-01-01“…This paper presents a novel approach for dynamically offloading data using deep reinforcement learning, specifically employing the Proximal Policy Optimization (PPO) algorithm. The proposed method utilizes a central controller equipped with the PPO model to make intelligent, real-time reader selection decisions based on environmental factors such as reader load, tag mobility, and network conditions. …”
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2600
Semantic aware intelligent optimization for IRS/UAV-enabled MEC in wideband cognitive radio networks
Published 2025-07-01“…Particularly, the proposed optimization framework jointly optimizes UAV trajectories, subcarrier allocation, IRS reflection coefficients, task offloading ratios, task priorities and contextual relevance to maximize semantic utility and system energy efficiency while dynamically ensuring task demands. …”
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