Published on Sun Dec 17 2017

Self-adaptation of Genetic Operators Through Genetic Programming Techniques

Andres Felipe Cruz Salinas, Jonatan Gomez Perdomo

The proposed approach is tested with real benchmark functions. Operators are represented as trees and are evolved using genetic programming (GP) techniques.

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Abstract

Here we propose an evolutionary algorithm that self modifies its operators at the same time that candidate solutions are evolved. This tackles convergence and lack of diversity issues, leading to better solutions. Operators are represented as trees and are evolved using genetic programming (GP) techniques. The proposed approach is tested with real benchmark functions and an analysis of operator evolution is provided.