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441
Hybridization of Galactic Swarm and Evolution Whale Optimization for Global Search Problem
Published 2020-01-01Get full text
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442
Application of Hybrid Algorithm with Large Data in Wind Farm Modeling
Published 2019-02-01Subjects: Get full text
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443
Optimization of Urban Fire Emergency Resource Allocation Based on Pre-Allocated Swarm Algorithm
Published 2025-01-01“…Additionally, a pre-allocated bee swarm algorithm is introduced to mitigate the issue of local incident points being unable to participate in rescue due to low weights, and a comparison of traditional genetic algorithms and particle swarm optimization algorithms is conducted. …”
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444
Adaptive image encryption approach using an enhanced swarm intelligence algorithm
Published 2025-03-01Get full text
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445
Load optimization of cogeneration units based on intuitive multi-objective fish swarm algorithm
Published 2025-06-01“…This study addresses the multi-objective optimization challenges in seasonal heat-power load distribution for cogeneration units by proposing a multi-objective artificial fish swarm algorithm based on intuitionistic fuzzy entropy (IFEMOAFSA). …”
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446
Nonlinear Blind Source Separation Algorithm Using Glowworm Swarm Optimization with Baffle Effect
Published 2015-09-01Get full text
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447
Short-Term Power Load Forecasting Method based on Glowworm Swarm Optimization Algorithm
Published 2021-03-01Get full text
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448
Large-scale multiobjective competitive swarm optimizer algorithm based on regional multidirectional search
Published 2024-11-01Get full text
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449
Multi objective moth swarm algorithm for optimizing electric vehicle integration in distribution grids
Published 2025-07-01Get full text
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450
Retracted: An Enhanced Hybrid Glowworm Swarm Optimization Algorithm for Traffic-Aware Vehicular Networks
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451
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A memetic algorithm for high‐strength covering array generation
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453
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Implementation ofVision PSOFastSLAM Algorithm for Unmanned Aerial Vehicles in Mine Environment
Published 2018-08-01Subjects: Get full text
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455
The Application of Compound Control Algorithm in Photovoltaic System MPPT
Published 2020-06-01“…Aiming at the problem that the output array exhibits multipeak characteristics when the PV array is partially shaded or unevenly illuminated, the traditional singlepeak MPPT algorithm is difficult to track the maximum power point A hybrid algorithm is proposed to improve the particle swarm combined with the sliding mode search Firstly, the probability judgment criterion of improved simulated annealing algorithm is introduced into the standard particle swarm optimization algorithm; the law of inertia weight change is improved; the disturbance parameter is added to the learning factor Secondly, using the sliding mode extreme value search algorithm, the suspected optimal value obtained by the particle swarm optimization algorithm is continuously optimized, and finally the maximum power point is found The simulation results show that the composite control algorithm can track the maximum power point quickly and accurately under different shadow conditions, and avoid the system falling into the local optimum value…”
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456
Efficacy of swarm-based neural networks in automated depression detection
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457
Multi-objective cloud workflow scheduling algorithm based on grid variance
Published 2019-02-01Subjects: Get full text
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458
A Methodology to Characterize an Optimal Robotic Manipulator Using PSO and ML Algorithms for Selective and Site-Specific Spraying Tasks in Vineyards
Published 2025-04-01“…The simulation tool was developed using the Gazebo simulator and ROS software to evaluate potential robotic configurations within a simulated vineyard. Particle Swarm Optimization (PSO) was employed as the optimization algorithm in a finite solution space, with the performance measure based on maximizing the Manipulability Index of manipulator configurations reaching all targets. …”
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459
Review of Swarm Intelligence for Solving Symmetric Traveling Salesman Problem
Published 2023-07-01Subjects: Get full text
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460
A Path Planning Method for AGV Based on Improved PSO-PIO Algorithm
Published 2022-06-01“…In order to solve the problem of particle swarm optimization algorithm easily falling into local optimum in global path planning, according to the related theories of particle swarm optimization algorithm and pigeon-inspired optimization algorithm, the influencing factors that lead to particle swarm optimization algorithm falling into local optimum are analyzed, and the size of raster in two-dimensional raster map is determined according to the minimum turning radius of automatic guided vehicle.The particle swarm optimization is improved and combined with the fast convergence ability of pigeon-inspired optimization algorithm, and a two-stage hybrid optimization algorithm based on improved particle swarm optimization and pigeon-inspired optimization algorithm is proposed for global path planning. …”
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