Results 31 to 40 of about 82,578 (301)

Feedback learning particle swarm optimization [PDF]

open access: yes, 2011
This is the author’s version of a work that was accepted for publication in Applied Soft Computing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may ...
Tang, Y   +5 more
core   +1 more source

Parallelized Particle Swarm Optimization on FPGA for Realtime Ballistic Target Tracking

open access: yesSensors, 2023
This paper addresses the problem of tracking a high-speed ballistic target in real time. Particle swarm optimization (PSO) can be a solution to overcome the motion of the ballistic target and the nonlinearity of the measurement model. However, in general,
Juhyeon Park   +4 more
doaj   +1 more source

Step-optimized Particle Swarm Optimization [PDF]

open access: yes2012 IEEE Congress on Evolutionary Computation, 2012
Recent developments of Particle Swarm Optimization (PSO) have successfully trended towards Adaptive PSO (APSO). APSO changes its behavior during the optimization process based on information gathered at each iteration. It has been shown that APSO is able to solve a wide range of difficult optimization problems efficiently and effectively.
Thomas Schoene   +2 more
openaire   +1 more source

Triggered memory-based swarm optimization in dynamic environments [PDF]

open access: yes, 2007
This is a post-print version of this article - Copyright @ 2007 Springer-VerlagIn recent years, there has been an increasing concern from the evolutionary computation community on dynamic optimization problems since many real-world optimization problems ...
Wang, H   +8 more
core   +1 more source

Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training [PDF]

open access: yes, 2006
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influenced by several "strategy parameters".
Meissner, Michael   +11 more
core   +1 more source

Optimization of UAV Airfoil Based on Improved Particle Swarm Optimization Algorithm

open access: yesInternational Journal of Aerospace Engineering, 2022
Airfoil optimization is an essential task in the aerodynamic layout design of the unmanned aerial vehicle (UAV). An objective optimization function was constructed based on the airfoil power factor and handling stability at various attack angles.
Tieying Jiang, Liang Jiang
doaj   +1 more source

Research on Large-Scale Bi-Level Particle Swarm Optimization Algorithm

open access: yesIEEE Access, 2021
Targeting at the slow convergence and the local optimum problems of particle swarm optimization (PSO), a large-scale bi-level particle swarm optimization algorithm is proposed in this paper, which enlarges the particle swarm scale and enhances the ...
Jia-Jia Jiang   +4 more
doaj   +1 more source

On solving Exterior Orientation of an Image with Particle Swarm Optimization [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Solving the exterior orientation of images is a fundamental component in photogrammetric mapping and 3D restitution processes. Additionally, it is essential in photogrammetric tasks such as visual odometry, camera-based visual simultaneous localization ...
P. Rönnholm   +3 more
doaj   +1 more source

A sequential quadratic programming based strategy for particle swarm optimization on single-objective numerical optimization

open access: yesComplex & Intelligent Systems, 2023
Over the last decade, particle swarm optimization has become increasingly sophisticated because well-balanced exploration and exploitation mechanisms have been proposed. The sequential quadratic programming method, which is widely used for real-parameter
Libin Hong   +4 more
doaj   +1 more source

Optimal multi-depot location decision using particle swarm optimization

open access: yesAdvances in Mechanical Engineering, 2017
The depot locations have a significant effect on the transportation cost in the multi-depot vehicle routing problem. A two-tier particle swarm optimization framework is proposed, in which an external particle swarm optimization and an internal particle ...
Yin-Mou Shen, Ruey-Maw Chen
doaj   +1 more source

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