Measuring Mutation Operators’ Exploration-Exploitation Behaviour and Long-Term Biases

  • James McDermott
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8599)

Abstract

We propose a simple method of directly measuring a mutation operator’s short-term exploration-exploitation behaviour, based on its transition matrix. Higher values for this measure indicate a more exploitative operator. Since operators also differ in their degree of long-term bias towards particular areas of the search space, we propose a simple method of directly measuring this bias, based on the Markov chain stationary state. We use these measures to compare numerically the behaviours of two well-known mutation operators, the genetic algorithm per-gene bitflip mutation and the genetic programming subtree mutation.

Keywords

genetic programming mutation transition probability Markov chain stationary distribution operator bias 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • James McDermott
    • 1
    • 2
  1. 1.Natural Computing Research and Applications Group, Complex and Adaptive Systems LabUniversity College DublinIreland
  2. 2.Management Information Systems, Lochlann Quinn School of BusinessUniversity College DublinIreland

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