Metaevolution with Analytic Programming

Abstract

The chapter will explain the differences in the approach of the metaevolution. Metaevolution as well as evolution and symbolic regression are methods of artificial intelligence. The paper will discuss evolutionary techniques for optimization, symbolic regression methods for the task of approximation, fitting and similar tasks. The core will be the discussion what metaevolution is and how it is used in different approaches. Last part of the paper will present applications and their results from the mentioned fields.