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Control Strategy of a Rotating Power Flow Controller Based on an Improved Hybrid Particle Swarm Optimization Algorithm
Published 2025-02-01Subjects: Get full text
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Composite Improved Algorithm Based on Jellyfish, Particle Swarm and Genetics for UAV Path Planning in Complex Urban Terrain
Published 2024-11-01“…In order to enhance the safety, path smoothness, and shortest path acquisition of UAVs undertaking tasks in complex urban multi-obstacle environments, this paper proposes an innovative composite improvement algorithm that integrates the advantages of the jellyfish search algorithm and the particle swarm algorithm. …”
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Improving Portfolio Management Using Clustering and Particle Swarm Optimisation
Published 2025-05-01“…For this portfolio optimisation task, this study employs a metaheuristic approach through the Swarm Intelligence algorithm, particularly Particle Swarm Optimisation and its variants. …”
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Next-Generation energy Management: Particle Density algorithm for residential microgrid optimization
Published 2025-03-01Subjects: Get full text
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PID Control of Multisources Complex Excitations Active Vibration Isolation System: An Improved Particle Swarm Optimization Algorithm
Published 2016-01-01“…Furthermore, this paper also sets up the acceleration feedback-based PID control model for multisources complex excitations active vibration isolation system, proposes an improved particle swarm optimization (PSO) algorithm of dynamic inertia weight factors used to optimize parameters of the built PID control model, and conducts simulation analysis. …”
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An Improved Particle Swarm Optimization Algorithm forOptimal Allocation of Distributed Generation Units in Radial Power Systems
Published 2020-01-01“…In this paper, an improved particle swarm optimization method (PSO) is proposed to optimally size and place a DG unit in an electrical power system so as to improve voltage profile and reduce active power losses in the system. …”
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Flexible manipulator trajectory tracking based on an improved adaptive particle swarm optimization algorithm with fuzzy PD control
Published 2025-02-01“…To address these challenges and improve the trajectory tracking performance of the manipulator, this paper focused on vibration suppression and trajectory planning for a two-link flexible manipulator and proposed a novel control method that integrates a modified adaptive particle swarm optimization algorithm (MAPSO) with fuzzy proportional–derivative (PD) control to achieve effective trajectory tracking. …”
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Optimization of stamping workshop line layout based on improved PSO algorithm
Published 2025-03-01Subjects: “…Improved particle swarm optimization algorithm…”
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An Improved Particle Swarm Optimization for Solving Bilevel Multiobjective Programming Problem
Published 2012-01-01“…An improved particle swarm optimization (PSO) algorithm is proposed for solving bilevel multiobjective programming problem (BLMPP). …”
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An improved particle swarm optimization for multilevel thresholding medical image segmentation.
Published 2024-01-01Get full text
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An Improved Method of Particle Swarm Optimization for Path Planning of Mobile Robot
Published 2020-01-01“…The existing particle swarm optimization (PSO) algorithm has the disadvantages of application limitations and slow convergence speed when solving the problem of mobile robot path planning. …”
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Improved aquila optimizer for swarm-based solutions to complex engineering problems
Published 2024-12-01Subjects: Get full text
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A Robust Salp Swarm Algorithm for Photovoltaic Maximum Power Point Tracking Under Partial Shading Conditions
Published 2024-12-01“…To address these challenges, this paper introduces a hybrid algorithm that integrates an improved salp swarm algorithm (SSA) with the perturb and observe (P&O) method. …”
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Multi-UAV path planning considering multiple energy consumptions via an improved bee foraging learning particle swarm optimization algorithm
Published 2025-04-01“…To tackle the MUAVPP-MEC, this study proposes an improved Bee Foraging Learning Particle Swarm Optimization algorithm (IBFLPSO), which integrates the bee-foraging algorithm into the particle swarm optimization framework. …”
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Esearch on an improved particle swarm optimization algorithm for inversion of element yield in pulse neutron gamma formation element logging
Published 2025-01-01“…During the inversion process, relevant parameters such as the objective function, inertia weight factor, and learning factor are designed and optimized to make the particle swarm optimization algorithm more suitable for gamma spectrum signal processing, avoiding local extremum problems during the optimization process and improving the accuracy of element yield inversion. …”
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An improved multi-objective particle swarm optimization algorithm for the design of foundation pit of rail transit upper cover project
Published 2025-03-01“…Abstract In this study, a multi-objective particle swarm optimization (MOIPSO) algorithm is proposed to address complex optimization problems, including real-world engineering challenges. …”
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