Results 231 to 240 of about 3,109,206 (294)

A Novel Denoising Method for Mud Continuous-Wave Signals Based on Selective Ensemble Strategy with Particle Swarm Optimization. [PDF]

Sensors (Basel)
Huang C, Cai W, Pang D, Yang Y, Du X, Duan X, Zhou Y.   +6 more
europepmc   +1 more source

Design and control of a novel pneumatic soft robot based on the improved particle swarm optimization algorithm. [PDF]

PLoS One
Meng H, Zhou C, Yang X, Zhao P, Zhang W.
europepmc   +1 more source

Enhanced particle swarm optimization for feature selection in SVM-based Alzheimer's disease diagnosis. [PDF]

Sci Rep
Zhang Q, Sheng J, Zhou R, Zhang Q, Wang B, Zhang R.   +5 more
europepmc   +1 more source

Multiple antenna performance parameters estimation of folded dipole antenna using Adaptive Neuro-Fuzzy Inference System trained with Particle Swarm Optimization. [PDF]

Sci Rep
Haznedar B, Gençoğlan DN, Haznedar H.
europepmc   +1 more source

Adaptive Particle Swarm Optimization [PDF]

IEEE Transactions on Systems, Man, and Cybernetics, 2009
An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perform a global search over the entire search space with faster convergence ...
Zhi-Hui Zhan
exaly   +9 more sources

Heterogeneous particle swarm optimizers [PDF]

2009 IEEE Congress on Evolutionary Computation, 2009
Particle swarm optimization (PSO) is a swarm intelligence technique originally inspired by models of flocking and of social influence that assumed homogeneous individuals. During its evolution to become a practical optimization tool, some heterogeneous variants have been proposed.
Marco Antonio Montes de Oca, Jorge Peña 0001, Thomas Stützle, Carlo Pinciroli, Marco Dorigo   +4 more
openaire   +1 more source

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

IEEE 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 ...
Wan-Lu Shao, Yuan-Yuan Qu, Jia-Jia Jiang
exaly   +3 more sources

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Particle swarm optimization

Proceedings of ICNN'95 - International Conference on Neural Networks, 2002
A concept for the optimization of nonlinear functions using particle swarm methodology is introduced. The evolution of several paradigms is outlined, and an implementation of one of the paradigms is discussed. Benchmark testing of the paradigm is described, and applications, including nonlinear function optimization and neural network training, are ...
James Kennedy, Russell Eberhart
openaire   +1 more source

Visualizing particle swarm optimization - Gaussian particle swarm optimization

Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706), 2004
Particle swarm optimization (PSO) conjures an image of particles searching for the optima the way bees buzz around flowers. One approach at visualizing the swarm graphs where all the particles are each generation, thus demonstrating the random nature associated with swarms of insects.
Barry R. Secrest, Gary B. Lamont
openaire   +1 more source

Clan Particle Swarm Optimization

2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence), 2008
PurposeParticle swarm optimization (PSO) has been used to solve many different types of optimization problems. In spite of this, the original version of PSO is not capable to find reasonable solutions for some types of problems. Therefore, novel approaches to deal with more sophisticated problems are required. Many variations of the basic PSO form have
Danilo Ferreira de Carvalho, Carmelo J. A. Bastos Filho   +1 more
openaire   +3 more sources