Feature selection through Dynamic Mesh Optimization

Abstract

This paper introduces the Dynamic Mesh Optimization meta-heuristic, which falls under the evolutionary computation techniques. Moreover, we outline its application to the feature selection problem. A set of nodes representing subsets of features makes up a mesh which dynamically grows and moves across the search space. The novel methodology is compared with other existing meta-heuristic approaches, thus leading to encouraging empirical results. © 2008 Springer-Verlag Berlin Heidelberg.