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301
AUV path planning method based on improved sparrow search algorithm
Published 2025-06-01“…MethodThe proposed ISSA incorporates several key enhancements to the classic sparrow search algorithm (SSA). First, a vector analysis method is developed to evaluate interval responses, allowing the algorithm to effectively handle uncertainties in ocean currents. …”
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302
Adaptive Exploration Artificial Bee Colony for Mathematical Optimization
Published 2024-11-01“…The artificial bee colony (ABC) algorithm is a famous swarm intelligence method utilized across various disciplines due to its robustness. …”
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303
UAV Path Planning under Dynamic Threats Using an Improved PSO Algorithm
Published 2020-01-01“…The computation time is reduced by using the map generation, the coordinate transformation, and the graphic processing unit (GPU) implementation of the algorithm. Various simulations are carried out to compare the performance of the proposed method according to the number of iterations, the number of swarms, and the number of cost evaluation points. …”
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304
Machine Learning-Enabled Prediction and Optimization of Sulfur Recovery Units: A Step towards Industry 4.0 Integration
Published 2024-04-01“…In the next step, the Gaussian process regression model served as a surrogate for fitness function evaluations within a particle swarm optimization framework. …”
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305
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306
Optimization of Planning Layout of Urban Building Based on Improved Logit and PSO Algorithms
Published 2018-01-01“…The particle in the particle swarm is assigned to the index parameter of logit model, and then the logit model in the evaluation system is run. …”
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307
Path Scheduling and Target Trajectory Optimization in UAVs Based on Dragonfly and Firefly Algorithm
Published 2022-10-01“…So this research is trying to provide a method based on LQG controller with and then set motion and specify path scheduling without deviations based on swarm intelligence algorithms in combinational mode: Dragonfly-Firefly algorithm. …”
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308
Optimizing Photovoltaic Panel Performance: A Comparative Study of Meta-Heuristic Algorithms
Published 2024-06-01“…The enhanced performance of the HPSGWO algorithm suggests its broader applicability for optimizing other complex systems where robust and precise parameter evaluation is critical.…”
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309
Commercial Vehicle Ride Comfort Optimization Based on Intelligent Algorithms and Nonlinear Damping
Published 2019-01-01“…By applying the particle swarm optimization (PSO), cuckoo search (CS), dividing rectangles (DIRECT), and genetic algorithm (GA), a set of optimal solutions are obtained. …”
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310
Optimizing Investment Portfolios with Bacterial Foraging and Robust Risk Management
Published 2025-02-01Get full text
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311
Optimal power flow using recent red-tailed hawk optimization algorithm
Published 2025-03-01“…The proposed approach will be evaluated using five distinct test scenarios. In addition, the results obtained from the suggested approach have been compared to those achieved by other modern and competitive metaheuristic optimization algorithms, such as particle swarm optimization (PSO), Coot bird's algorithm (COOT), salp swarm algorithm (SSA), Marin predator algorithm (MPA), and the jellyfish search optimizer (JSO). …”
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312
On the Effectiveness of Nature-Inspired Metaheuristic Algorithms for Performing Phase Equilibrium Thermodynamic Calculations
Published 2014-01-01“…These algorithms are the cuckoo search (CS), intelligent firefly (IFA), bat (BA), artificial bee colony (ABC), MAKHA, a hybrid between monkey algorithm and krill herd algorithm, covariance matrix adaptation evolution strategy (CMAES), magnetic charged system search (MCSS), and bare bones particle swarm optimization (BBPSO). …”
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313
An Enhanced PSO-Based Clustering Energy Optimization Algorithm for Wireless Sensor Network
Published 2016-01-01“…The performance metrics are evaluated and results are compared with competitive clustering algorithm to validate the reduction in energy consumption.…”
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314
A Novel Fuzzy PIDF Enhancing PIDF Controller Tuned in Two Stages by TLBO and PSO Algorithms for Reliable AVR Performance
Published 2025-01-01“…This framework leverages Teaching-Learning-Based Optimization (TLBO) and Particle Swarm Optimization (PSO) algorithms to find the optimum values of the PIDF and Fuzzy-PIDF controllers’ gains, respectively. …”
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315
Predicting the shield effectiveness of carbon fiber reinforced mortars utilizing metaheuristic algorithms
Published 2025-07-01“…Specifically, support vector regression (SVR) was combined with three optimization algorithms: firefly algorithm (FFA), particle swarm optimization (PSO), and grey wolf optimization (GWO) to create hybrid models for estimating the SE of carbon fiber-reinforced mortars. …”
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316
Improved Bald Eagle Search Optimization Algorithm for the Inverse Kinematics of Robotic Manipulators
Published 2024-10-01“…To address this challenge, the bald eagle search optimization algorithm is introduced. This algorithm combines the advantages of evolutionary and swarm techniques, making it more effective at solving nonlinear problems and improving search efficiency. …”
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317
Enhancing Energy Efficiency in IoT-WSNs Through Optimized PSO Cluster Head Selection
Published 2025-01-01“…By classifying sensor nodes into cluster members, CHs, and free nodes, this intelligent swarm-based algorithm is used to maximize CH selection in IoT-WSNs. …”
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318
Comparison of MPPT optimization methods for P&O and PSO solar panels to overcome partial shading
Published 2024-11-01Get full text
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319
Identification of Alcoholism Based on Wavelet Renyi Entropy and Three-Segment Encoded Jaya Algorithm
Published 2018-01-01“…The proposed TSE-Jaya provides a better performance, compared to the conventional approaches including plain Jaya, multiobjective genetic algorithm, particle swarm optimization, bee colony optimization, modified ant colony system, and real-coded biogeography-based optimization.…”
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320
Research on bearing fault diagnosis based on improved northern goshawk algorithm optimizing SVM
Published 2025-05-01“…In order to evaluate the performance of the improved algorithm, firstly, benchmark testing functions were used for experiments, and the improved algorithm was compared with existing optimization algorithms such as NGO, particle swarm optimization (PSO), sparrow search algorithm (SSA), etc. …”
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