Feature Selection through Dynamic Mesh Optimization

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.

• Type: Conference
• Year: 2008
• Where: CIARP
• Authors: Rafael Bello, Amilkar Puris, Rafael Falcón, Yudel Gómez
• Keywords: CIARP 2008, Dynamic Mesh Optimization, Evolutionary Computation Techniques, Nodes Representing Subsets, Pattern Recognition