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» Speculative Evaluation in Particle Swarm Optimization
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CEC
2008
IEEE
14 years 2 months ago
New evaluation criteria for the convergence of continuous evolutionary algorithms
—The first hitting time (FHT) plays an important role in convergence evaluation for evolutionary algorithms. However, the current criteria of the FHT are mostly under a hypothesi...
Ying Lin, Jian Huang, Jun Zhang
ICASSP
2008
IEEE
14 years 2 months ago
3D facial expression recognition using swarm intelligence
In this paper, we present a novel approach for 3D facial expression recognition which is inspired by the advances of ant colony and particle swarm optimization (ACO and PSO respec...
Iordanis Mpiperis, Sotiris Malassiotis, Vassilios ...
CEC
2007
IEEE
14 years 13 days ago
Gene selection in cancer classification using PSO/SVM and GA/SVM hybrid algorithms
In this work we compare the use of a Particle Swarm Optimization (PSO) and a Genetic Algorithm (GA) (both augmented with Support Vector Machines SVM) for the classification of high...
Enrique Alba, José García-Nieto, Lae...
DFT
2009
IEEE
210views VLSI» more  DFT 2009»
13 years 11 months ago
Optimizing Parametric BIST Using Bio-inspired Computing Algorithms
Optimizing the BIST configuration based on the characteristics of the design under test is a complicated and challenging work for test engineers. Since this problem has multiple o...
Nastaran Nemati, Amirhossein Simjour, Amirali Ghof...
ISNN
2004
Springer
14 years 1 months ago
Evolving Flexible Neural Networks Using Ant Programming and PSO Algorithm
A flexible neural network (FNN) is a multilayer feedforward neural network with the characteristics of: (1) overlayer connections; (2) variable activation functions for different...
Yuehui Chen, Bo Yang, Jiwen Dong