Results 191 to 200 of about 21,753 (225)

PSO-ANE: Adaptive Network Embedding With Particle Swarm Optimization

IEEE Transactions on Computational Social Systems, 2019
Network embedding plays an important role in various network applications, such as node classification and link prediction. Lots of structure-based network embedding methods have been proposed. Yet, they suffer from unsteady embedding performances due to the parameter sensitivity.
Jinyin Chen, Yangyang Wu, Xuanheng Xu, Haibin Zheng, Zhongyuan Ruan, Qi Xuan 0001   +5 more
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Opposition based initialization in particle swarm optimization (O-PSO)

Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers, 2009
Particle Swarm Optimization, a population based optimization technique has been used in wide number of application areas to solve optimization problems. This paper presents a new algorithm for initialization of population in standard PSO called Opposition based Particle Swarm Optimization (O-PSO). The performance of proposed initialization algorithm is
Hajira Jabeen, Zunera Jalil, Abdul Rauf Baig   +2 more
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Grouping-Shuffling Particle Swarm Optimization: An Improved PSO for Continuous Optimization

2010
This paper proposes a novel population-based evolution algorithm named grouping-shuffling particle swarm optimization (GSPSO) by hybridizing particle swarm optimization (PSO) and shuffled frog leaping algorithm (SFLA) for continuous optimization problems In the proposed algorithm, each particle automatically and periodically executes grouping and ...
Yinghai Li, Xiaohua Dong, Ji Liu
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Cutting Parameters Optimization by Using Particle Swarm Optimization (PSO)

Applied Mechanics and Materials, 2007
Cutting parameters play an essential role in the economics of machining. In this paper, particle swarm optimization (PSO), a novel optimization algorithm for cutting parameters optimization (CPO), was discussed comprehensively. First, the fundamental principle of PSO was introduced; then, the algorithm for PSO application in cutting parameters ...
J.G. Li, Y.X. Yao, Dong Gao, Chang Qing Liu, Zhe Jun Yuan   +4 more
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The flexi-PSO: Towards a more flexible particle swarm optimizer

OPSEARCH, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A Brief Historical Review of Particle Swarm Optimization (PSO)

Journal of Bioinformatics and Intelligent Control, 2012
Mathematics Department, Universidad de Oviedo, 33007 Oviedo, SpainParticle Swarm Optimization is an evolutionary algorithm that has been applied to many differentengineering and technological problems with considerable success. Since its first publication in1995, it has been continually modified trying to improve its convergence properties.
E. García-Gonzalo, J. L. Fernández-Martínez   +1 more
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Particle swarm optimization (PSO) for reflector antenna shaping

IEEE Antennas and Propagation Society Symposium, 2004., 2004
It has been shown that reflector antenna systems can benefit substantially from careful shaping of the main or sub-reflectors, or both, in order to maximize the antenna's performance (Duan, D.-W. and Rahmat-Samii, Y., 1995). Shaped reflectors can be used to achieve high efficiencies and gains, low side-lobe levels, and arbitrarily contoured beams.
D. Gies, Y. Rahmat-Samii
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Particle Swarm Optimization (PSO) for Optimization in Video Steganography

2016
This chapter describes use of Natural Computing for optimization in the domain of Steganography. Steganography is an art of concealing information in any media. Internet has made digital content popular and very widely used media. Digital contents shared over Internet are text, audio, images and video streams.
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GREEN-PSO: Conserving Function Evaluations in Particle Swarm Optimization

Proceedings of the 5th International Joint Conference on Computational Intelligence, 2013
In the Particle Swarm Optimization (PSO) algorithm, the expense of evaluating the objective function can make it difficult, or impossible, to use this approach effectively; reducing the number of necessary function evaluations would make it possible to apply the PSO algorithm more widely.
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PSO-CGO

International Journal of Natural Computing Research, 2011
In this paper the authors present PSO-CGO, a novel particle swarm algorithm for cluster geometry optimization. The proposed approach combines a steady-state strategy to update solutions with a structural distance measure that helps to maintain population diversity.
Nuno Lourenço 0002, Francisco Baptista Pereira   +1 more
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