Distribution Optimization: An evolutionary algorithm to separate Gaussian mixtures

Isogeometric Topology Optimization of Continuum Structures using an Evolutionary Algorithm

Topology optimization has been an interesting area of research in recent years.  The main focus of this paper is to use an evolutionary swarm intelligence algorithm to perform Isogeometric Topology optimization of continuum structures.  A two-dimensional plate is analyzed statically and the nodal displacements are calculated.  The nodal displacements using Isogeometric analysis are found to be ...

An Approach to Reducing Overfitting in FCM with Evolutionary Optimization

Fuzzy clustering methods are conveniently employed in constructing a fuzzy model of a system, but they need to tune some parameters. In this research, FCM is chosen for fuzzy clustering. Parameters such as the number of clusters and the value of fuzzifier significantly influence the extent of generalization of the fuzzy model. These two parameters require tuning to reduce the overfitting in the...

CLUSTER: An Unsupervised Algorithm for Modeling Gaussian Mixtures

Charles A. Bouman School of Electrical Engineering Purdue University West Lafayette IN 47906 [email protected] (765) 494-0340 http://www.ece.purdue.edu/~bouman Version 2 April 1997 Version 3 September 1998 Version 3.2 December 1999; May 2000 manpage update Version 3.3 September 2000 manpage update Version 3.4 October 2001 manpage update Version 3.6.4 July 2005 manpage update

Matrix Manifold Optimization for Gaussian Mixtures

We take a new look at parameter estimation for Gaussian Mixture Model (GMMs). Specifically, we advance Riemannian manifold optimization (on the manifold of positive definite matrices) as a potential replacement for Expectation Maximization (EM), which has been the de facto standard for decades. An out-of-the-box invocation of Riemannian optimization, however, fails spectacularly: it obtains the...

Evaluating uego, an evolutionary global optimization algorithm