Guiding function set selection in genetic programming based on fitness landscape analysis

Abstract

This paper attempts to provide a guideline for function set selection based on fitness landscape analysis. We used two well-known techniques, autocorrelation function and information content, to analysize the fitness landscape of each function set. We tested these methods on a large number of real-valued symbolic regression problems and the experimental… (More)
DOI: 10.1145/2464576.2466800

Topics

2 Figures and Tables

Slides referencing similar topics