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2161
Three-Dimensional Drone Cell Placement: Drone Placement for Optimal Coverage
Published 2024-10-01“…The multi-drone-cell placement problem is solved using adapted Dispersive Flies Optimization alongside other meta-heuristic algorithms such as Particle Swarm Optimization and differential evolution. …”
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2162
Research on the optimization model of anti-breast cancer candidate drugs based on machine learning
Published 2025-04-01“…Additionally, a multi-model fusion strategy and Particle Swarm Optimization (PSO) algorithm were employed to optimize both biological activity and ADMET properties, thereby improving the prediction of Caco-2, CYP3A4, hERG, HOB, and MN properties. …”
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2163
A Capacity Optimization Configuration Method for Photovoltaic and Energy Storage System of 5 G Base Station Considering Time-of-Use Electricity Price
Published 2022-09-01“…Then, the quantum-behaved particle swarm optimization algorithm is used to calculate the minimum comprehensive cost of the photovoltaic and energy storage system of 5G base station in a typical day to determine the optimal capacity of photovoltaic power generation and energy storage. …”
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2164
Precise PIV Measurement in Low SNR Environments Using a Multi-Task Convolutional Neural Network
Published 2025-03-01“…Particle Image Velocimetry (PIV) is essential in experimental fluid mechanics, providing nonintrusive flow field measurements. …”
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2165
Optimal protection coordination for directional overcurrent relays in radial distribution networks with inverter-based distributed energy resources
Published 2025-06-01“…Furthermore, an analytic hierarchy process and criteria importance through intercrieria correlation weights-based technique for order preference by similarity to ideal solution algorithm is proposed to determine the optimal directional overcurrent relay settings. …”
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2166
Continuously Variable Geometry Quadrotor: Robust Control via PSO-Optimized Sliding Mode Control
Published 2025-06-01“…A sliding mode control algorithm, optimized using particle swarm optimization, is implemented to ensure stability and high performance in the presence of uncertainties and noise. …”
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2167
FAULT DIAGNOSIS METHOD OF SUBMERSIBLE SEWAGE PUMP BASED ON IMPROVED HOPFIELD NEURAL NETWORK
Published 2022-01-01“…The connection weights of HNN neural network were optimized by particle swarm optimization(PSO) algorithm to improve the global convergence ability of the improved neural network, and the improved HNN neural network model was obtained. …”
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2168
Verification of Backtracking and Branch and Bound Design Templates
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2169
Stable control of hydraulic robotic arm during operation using PLC technology
Published 2025-04-01“…A specific control system was established using Siemens S7-200 series ST30 PLC, and the proportional, integral, derivative (PID) algorithm was optimized into the improved particle swarm optimization-fuzzy PID (IPSO-FPID) algorithm to achieve stable control of the robotic arm. …”
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2170
Voltage and frequency regulation in wind penetrated deregulated power system using an electric vehicle and IPFC assisted model predictive controller
Published 2025-08-01“…The proposed controller is benchmarked against conventional PID, fractional-order PIλDF, and MPC schemes optimized via Particle Swarm Optimization (PSO) and Whale Optimization Algorithm (WOA). …”
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2171
Research on cooperative control strategy for high efficiency and energy saving in virtually coupled train sets based on two-layer optimization
Published 2025-01-01“…The lower layer concentrates on energy-saving optimization, establishing an objective function for energy saving and utilizing a multi-objective particle swarm algorithm to optimize cruising curves. …”
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2172
DIAGNOSTIC SYSTEM FOR OPTIMIZING THE DIESEL LOCOMOTIVE COOLING MODES
Published 2025-05-01“…The software is written in C++ with partial use of the assembler language. Results and conclusions. …”
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2173
Adaptive hybrid optimization for integrated project scheduling and staffing problem with time/resource trade-offs
Published 2025-12-01“…To solve this problem, we introduce an adaptive hybrid algorithm combining the Non-dominated Sorting Genetic Algorithm II (NSGA-II) and Multi-Objective Particle Swarm Optimization (MOPSO). …”
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2174
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2175
Balance Control Method for Bipedal Wheel-Legged Robots Based on Friction Feedforward Linear Quadratic Regulator
Published 2025-02-01“…A constant-speed excitation trajectory is designed to gather data for friction identification, and the Particle Swarm Optimization (PSO) algorithm is applied to determine the optimal friction parameters. …”
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2176
Real-time information-based combined control method for bus delay
Published 2025-08-01“…The backup bus replacement strategy, on the other hand, is implemented at bus terminals, where a backup bus replaces a delayed one to maintain the schedule. A heuristic algorithm based on Particle Swarm Optimization (PSO) is incorporated into the model, enhancing its effectiveness by iteratively updating the positions and velocities of particles in the search space. …”
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2177
Research on the connectivity reliability analysis and optimization of natural gas pipeline network based on topology
Published 2025-04-01“…First, a minimum path set-based reliability model is developed, leveraging an enhanced depth-first search (DFS) algorithm for efficient path identification and binary decision diagrams (BDD) to eliminate 92% of redundant terms in reliability formulas, reducing computational complexity by 40% compared to Monte Carlo simulations. …”
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2178
Dual-GRU Perception Accumulation Model for Linear Beam Smoke Detector
Published 2025-06-01“…The algorithm integrates dual-wavelength information and introduces the cross-attention mechanism into the GRU network to achieve collaborative modeling of microscale scattering characteristics and macroscale concentration changes of smoke particles. …”
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2179
Economic and environmental power dispatch for energy management systems applied to microgrids with wind energy resources and battery energy storage systems
Published 2025-09-01“…A particle swarm optimization (PSO) algorithm was used to fine-tune the parameters of each algorithm, eliminating the need for manual adjustments and optimizing the quality and processing time. …”
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2180
Multi-Target Firefighting Task Planning Strategy for Multiple UAVs Under Dynamic Forest Fire Environment
Published 2025-02-01“…Results from benchmark tests and case studies indicate that the improved MP–GWO algorithm outperforms the grey wolf optimizer (GWO), pelican optimizer (POA), Harris hawks optimizer (HHO), coyote optimizer (CPO), and particle swarm optimizer (PSO) in solving more complex optimization problems, providing better average results, greater stability, and effectively reducing flight time and path cost. …”
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