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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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503
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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504
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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505
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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506
Improved security for IoT-based remote healthcare systems using deep learning with jellyfish search optimization algorithm
Published 2025-04-01“…The bacterial foraging optimization algorithm (BFOA) method is used for feature extraction. …”
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507
Optimizing droplet coalescence dynamics in microchannels: A comprehensive study using response surface methodology and machine learning algorithms
Published 2025-01-01“…Furthermore, we integrate Response Surface Methodology (RSM) to effectively optimize droplet coalescence dynamics, harnessing the power of machine learning algorithms. …”
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508
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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509
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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510
Polar lights optimizer: A novel algorithm for accurate parameter estimation in proton exchange membrane fuel cells
Published 2025-09-01“…The PLO algorithm generates SSE results of 0.025493 for BCS 500 W and 0.275211 for Nedstack 600 W PS6 and 0.283774 for STD 250 W Stack while keeping AE at 0.259293 and RE% at 1.185075 for the STD 250 W Stack. …”
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511
High-Precision Optimization of BIM-3D GIS Models for Digital Twins: A Case Study of Santun River Basin
Published 2025-07-01“…Applied to the Santun River Basin digital twin project, experiments with 10 water gate models show that the AW-QEM algorithm reduces average loading time by 15% compared to traditional QEM, while maintaining 97% geometric accuracy, demonstrating the method’s efficiency in balancing precision and rendering performance.…”
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512
An adaptive initialization and multitasking based evolutionary algorithm for bi-objective feature selection in classification
Published 2025-05-01“…Abstract Evolutionary algorithms have become a widely-used approach for solving multi-objective optimization problems over the last decades, while feature selection in classification is also a discrete bi-objective optimization problem that aims at simultaneously minimizing the classification error and the number of selected features. …”
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513
Diagnosing schizophrenia with routine blood tests: a comparative analysis of machine learning algorithms
Published 2025-08-01Get full text
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Optimizing wireless sensor network topology with node load consideration
Published 2025-02-01“…The K-means clustering algorithm partitions nodes by minimizing the within-cluster variance, while the firefly algorithm is an optimization algorithm based on swarm intelligence that simulates the flashing interaction between fireflies to guide the search process. …”
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516
Multi-UAV Trajectory Optimization Under Dynamic Threats: An Enhanced GWO Algorithm Integrating a Priori and Real-Time Data
Published 2025-06-01“…To address this, an enhanced Grey Wolf Optimization (GWO) algorithm is proposed for multi-UAV collaborative planning in dynamic threat zones. …”
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517
Estimating elastic properties of sediments by pseudo-wells generation utilizing simulated annealing optimization method
Published 2024-12-01“…In this study, the SEAM earth model has been used as a reference to investigate the quality of pseudo-well generation utilizing a simulated annealing (SA) algorithm as an optimization method of property model change, which minimizes the cost function of seismic inversion. …”
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UAV Path Optimization for WSN in Smart Agriculture
Published 2025-01-01“…The algorithm ensures that the UAV hovers at an optimal position within each sensor’s coverage area, minimizing unnecessary movements. …”
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A Chaotic Decomposition-Based Approach for Enhanced Multi-Objective Optimization
Published 2025-02-01“…The results establish the proposed algorithm as a promising alternative for solving multi-objective optimization problems.…”
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520
Hybrid Population-Based Hill Climbing Algorithm for Generating Highly Nonlinear S-boxes
Published 2024-12-01“…The HPHC algorithm maintains high reliability across diverse parameter settings while requiring minimal computational resources, making it particularly suitable for practical cryptographic applications.…”
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