Results 41 to 50 of about 3,109,206 (294)

Traffic fatalities prediction using support vector machine with hybrid particle swarm optimization

Journal of Algorithms & Computational Technology, 2018
Road traffic safety is essential, therefore in order to predict traffic fatalities effectively and promote the harmonious development of transportation, a traffic fatalities prediction model based on support vector machine is established in this paper ...
Xiaoning Gu, Ting Li, Yonghui Wang, Liu Zhang, Yitian Wang, Jinbao Yao   +5 more
doaj   +1 more source

A self-learning particle swarm optimizer for global optimization problems [PDF]

, 2011
Copyright @ 2011 IEEE. All Rights Reserved. This article was made available through the Brunel Open Access Publishing Fund.Particle swarm optimization (PSO) has been shown as an effective tool for solving global optimization problems.
Yang, S, Li, Changhe, Nguyen, T. T., null Changhe Li, null Shengxiang Yang, Nguyen, T T, Yang, Shengxiang, Li, C, null Trung Thanh Nguyen   +8 more
core   +1 more source

Parallelized Particle Swarm Optimization on FPGA for Realtime Ballistic Target Tracking

Sensors, 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, Heoncheol Lee, Hyuck-Hoon Kwon, Yeji Hwang, Wonseok Choi   +4 more
doaj   +1 more source

Fast multi-swarm optimization for dynamic optimization problems [PDF]

, 2008
This article is posted here with permission of IEEE - Copyright @ 2008 IEEEIn the real world, many applications are non-stationary optimization problems. This requires that the optimization algorithms need to not only find the global optimal solution but
Yang, S, Li, Changhe, Shengxiang Yang, Yang, Shengxiang, Changhe Li, Li, C   +5 more
core   +1 more source

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

, 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, Michael Schmuker (4736406), Schmuker Michael, Schneider, Gisbert (Prof. Dr.), Michael Meissner, Michael Schmuker, Gisbert Schneider, Schmuker, Michael, Gisbert Schneider (17096), Meissner Michael, Schneider Gisbert, Michael Meissner (17094)   +11 more
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A sequential quadratic programming based strategy for particle swarm optimization on single-objective numerical optimization

Complex & 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, Xinmeng Yu, Guofang Tao, Ender Özcan, John Woodward   +4 more
doaj   +1 more source

Particle swarm optimization with composite particles in dynamic environments [PDF]

, 2010
This article is placed here with the permission of IEEE - Copyright @ 2010 IEEEIn recent years, there has been a growing interest in the study of particle swarm optimization (PSO) in dynamic environments.
Yang, S, Yang, Shengxiang, Wang, D, Liu, L   +3 more
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On solving Exterior Orientation of an Image with Particle Swarm Optimization [PDF]

The 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, M. Kurkela, M. Vaaja, H. Hyyppä   +3 more
doaj   +1 more source

Optimization of UAV Airfoil Based on Improved Particle Swarm Optimization Algorithm

International 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

Optimal multi-depot location decision using particle swarm optimization

Advances 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