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541
ML-based approach to potato diseases diagnosis using image processing and whale optimization algorithm for feature selection
Published 2025-12-01“…Nature-inspired feature extraction techniques, such as the Whale Optimization Algorithm (WOA), have gained considerable attention recently. …”
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542
Path planning in radioactive environment of nuclear facilities based on modified A-star algorithm and search neighborhood optimization
Published 2025-10-01“…Compared with the Probabilistic Roadmap Method (PRM), PRM has the shortest computation time due to its random sampling characteristics, but the cumulative dose and path length are higher than the two A-star algorithms. For models of varying complexity, optimizing the number of search neighborhoods further enhances search efficiency without affecting path planning results. …”
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543
Optimized memory allocation in edge-PLCs using Deep Q-Networks and bidirectional LSTM with Quantum Genetic Algorithm
Published 2024-12-01“…Moreover, we introduce Quantum Genetic Algorithm Optimization, a cutting-edge approach that infuses quantum-inspired principles into the traditional genetic algorithm framework, to further refine the memory allocation process. …”
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544
Investigating Optimal EEG Channels and Features for Brain-Computer Interfaces: An Exploration using Evolutionary Algorithms and Machine Learning
Published 2025-03-01“…The Imperialist Competitive Algorithm (ICA) and Cuckoo Optimization Algorithm (COA) were utilized for feature selection. …”
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545
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546
Optimal Configuration of Electricity-Hydrogen Hybrid Energy Storage System Based on Multi-objective Artificial Hummingbird Algorithm
Published 2023-07-01“…The multi-objective artificial hummingbird algorithm based on Pareto is used to solve the planning scheme and then compared with the multi-objective particle swarm optimization and multi-objective atomic orbital search algorithm. …”
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547
Reinforcement Learning-Driven Hunter-Prey Algorithm Applied to 3D Underwater Sensor Network Coverage Optimization
Published 2025-01-01“…Secondly, by incorporating the concept of Q-learning, the algorithm can adaptively select the optimal action strategy at different stages, thereby enhancing the effectiveness of actions executed in each phase. …”
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548
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549
Electric vehicles charging station allocation based on load profile forecasting and Dijkstra’s algorithm for optimal path planning
Published 2025-07-01“…For the forecasting component, the NARX model has provided a correlation coefficient of 90% for the CS real data collection. Dijkstra’s algorithm was employed to effectively optimize the routing of EVs to their nearest charging stations by determining optimal shortest paths. …”
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550
Advanced KNN-based cost-efficient algorithm for precision localization and energy optimization in dynamic underwater sensor networks
Published 2025-01-01“…This paper proposes a KNN-based cost-efficient machine-learning algorithm aimed at optimizing underwater context acquisition with sensor nodes. …”
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551
Optimized control of parallel heat pump units based on the satin bower bird algorithm in a distributed architecture
Published 2025-05-01“…The Distributed Satin Bowerbird Optimization (D-SBO) algorithm is proposed to address the load optimization distribution problem in parallel heat pump units within MDBHE. …”
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552
Spiking Neural Networks Optimized by Improved Cuckoo Search Algorithm: A Model for Financial Time Series Forecasting
Published 2025-05-01“…To address the performance limitations of Spiking Neural Networks (SNNs) caused by hyperparameter sensitivity, this study proposes an SNN model optimized by an Improved Cuckoo Search (ICS) algorithm (termed ICS-SNN). …”
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553
A novel TID + IDN controller tuned with coatis optimization algorithm under deregulated hybrid power system
Published 2025-02-01“…The controller’s parameters are optimized using an advanced Coatis Optimization Algorithm (COA). …”
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554
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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555
Structural Optimization-Based Enhancement of the Dynamic Performance for Horizontal Axis Wind Turbine Blade
Published 2025-07-01“…It employs a complex optimization framework that combines aerodynamics and structural analysis via MATLAB and a genetic algorithm. …”
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556
Optimization of Fusion Method for GF-2 Satellite Remote Sensing Images based on the Classification Effect
Published 2019-04-01Get full text
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557
Application of evolutionary algorithm in estimation of environmental performance in farm systems
Published 2019-12-01“…The outcomes of the present study showed the valuable application of multi-objective genetic algorithm for optimization of energy consumption in wheat cultivation.…”
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558
Investigation of Floating Offshore Wind Farm Layout Optimization Considering Mooring Line Constraints
Published 2024-12-01“…By defining constraint areas, the optimization process ensures that FOWTs are optimally positioned while avoiding interference and collisions. …”
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559
An Enhanced Artificial Lemming Algorithm and Its Application in UAV Path Planning
Published 2025-06-01“…When applied to UAV path planning in large- and medium-scale environments with realistic obstacle constraints, the EALA generates Pareto-optimal paths that minimize length, curvature, and computation time while guaranteeing collision avoidance. …”
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560
Optimization design of an acoustic cover layer for a cylindrical cavity based on porous materials
Published 2025-03-01“…In this study, a comprehensive investigation into the parameter fitting and acoustic performance optimization of porous materials is conducted, utilizing advanced physical models, multifluid impedance transfer theory, and particle swarm optimization algorithms. …”
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