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781
Energy management for microgrids integrating renewable sources and hybrid electric vehicles
Published 2025-05-01“…It also incorporates demand response mechanisms for greater resilience. The Kepler Optimization Algorithm (KOA), inspired by Kepler's laws of planetary motion, is employed to tackle the nonlinear optimization problem. …”
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782
Leveraging stacking machine learning models and optimization for improved cyberattack detection
Published 2025-05-01“…Besides, we propose an improved equilibrium optimizer (EO) approach whereby the previous EO is modified. …”
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783
Control Strategy of a Rotating Power Flow Controller Based on an Improved Hybrid Particle Swarm Optimization Algorithm
Published 2025-02-01“…Notably, this paper introduces intelligent optimization algorithms to this field for the first time, employing an improved hybrid particle swarm optimization (HPSO) algorithm to control the active power while keeping the reactive power constant and subsequently adjusting the reactive power while maintaining the active power steady, thereby achieving power regulation. …”
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784
A New Approach to Environmental Economic Dispatch Using Multiobjective Differential Evolution: A Case Study
Published 2025-01-01“…In electricity generation systems, problems related to economic and environmental dispatch represent potential for improvement in generating plants. The Environmental Economic Dispatch (EED) consists of minimizing the cost of generation and emission of pollutants such as CO2, SO2 and NOx. …”
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785
A Novel Approach for Evaluating Web Page Performance Based on Machine Learning Algorithms and Optimization Algorithms
Published 2025-01-01“…Similarly, Random Forest models showed a slight improvement, reaching 81% with feature selection versus 80% without. …”
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786
Nonlinear Optimization and Adaptive Heuristics for Solving Irregular Object Packing Problems
Published 2024-10-01Get full text
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787
Double layered expansion planning for virtual power plants considering virtual energy storage systems
Published 2025-07-01“…To improve computational efficiency, a hybrid Grey Wolf Optimization algorithm is employed for model solution. …”
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788
Predictive modelling of aquaculture water quality using IoT and advanced machine learning algorithms
Published 2025-07-01Get full text
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789
Improved Model Predictive Control Algorithm for the Path Tracking Control of Ship Autonomous Berthing
Published 2025-06-01“…To address the issues of path tracking accuracy and control stability in autonomous ship berthing, an improved algorithm combining nonlinear model predictive control (NMPC) and convolutional neural networks (CNNs) is proposed in this paper. …”
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790
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791
Application of bioinspired global optimization algorithms to the improvement of the prediction accuracy of compact extreme learning machines
Published 2022-04-01“…By adjusting input weights with bioinspired optimization algorithms, it was shown that the prediction accuracy of ELMs in regression problems can be improved to reduce the number of hidden-layer neurons to reach a high prediction accuracy on learning and test datasets. …”
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792
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793
Improvement of RT-DETR model for ground glass pulmonary nodule detection.
Published 2025-01-01“…This article proposed an algorithm based on RT-DETR model with the following enhancement: 1) optimize the backbone network with FCGE blocks to increase the detection accuracy of small-sized and blurred edge nodules; 2) replace the AIFI module with HiLo-AIFI module to reduce redundant computation and improve the detection accuracy of pure ground glass pulmonary nodules and mixed ground glass pulmonary nodules; 3) replace the DGAK module with CCFF module to address the issue of capturing complex features and recognition of irregularly shaped ground glass nodules. …”
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794
Artificial intelligence-optimized shield parameters for soft ground tunneling in urban environment: A case study of Bangkok MRT Blue Line
Published 2025-10-01“…This integrated framework, which combines the non-dominated sorting genetic algorithm (NSGA-II) with LSTM neural networks, is applied to MOO to identify the optimal SOPs, while accounting for their influence on S variation as a time-series over 11 timesteps, as considered in this study. …”
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795
Mapping and interpretability of aftershock hazards using hybrid machine learning algorithms
Published 2025-08-01“…By employing the stacking algorithm to optimize and combine XGBoost and LightGBM models, the proposed model significantly improves the prediction performance. …”
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796
RETRACTED ARTICLE: Intelligent power management based on multi-objective cost function for plug-in biogas hybrid vehicles under uncertain driving conditions
Published 2022-11-01“…The long-term power management depends on an improved generalized particle swarm optimization algorithm (IGPSO) to obtain the globally optimal values of motor and biogas engine torques. …”
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797
Cost-Effective Optimization of Sizing and Charging Profiles for PHEV Parking Lots in Smart Microgrids Using Harmony Search Algorithm
Published 2025-01-01“…However, EV participation significantly reduces ohmic losses and improves the grid load profile. The proposed HS algorithm outperforms the DE algorithm by achieving lower microgrid costs and better convergence efficiency. …”
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798
Multi-UAV path planning considering multiple energy consumptions via an improved bee foraging learning particle swarm optimization algorithm
Published 2025-04-01“…To tackle the MUAVPP-MEC, this study proposes an improved Bee Foraging Learning Particle Swarm Optimization algorithm (IBFLPSO), which integrates the bee-foraging algorithm into the particle swarm optimization framework. …”
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799
Network Security Perception System Integrating Improved CNN Algorithm and Improved GRU Algorithm
Published 2024-01-01“…Additionally, the gated recurrent unit is improved using an adaptive boosting algorithm. A novel network security-aware model integrating both methods is constructed. …”
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800
Optimal Modeling of Wireless LANs: A Decision-Making Multiobjective Approach
Published 2018-01-01“…The developed algorithm allows automating the design process, traditionally handmade by network technicians, in order to save time and cost by improving the WLAN arrangement. …”
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