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Evaluation of Search Performance of Evolutionary Computation by Transfer Entropy

  • Hiroshi SatoEmail author
Conference paper
Part of the Proceedings in Adaptation, Learning and Optimization book series (PALO, volume 12)

Abstract

In Evolutionary Computation, the search space made from genotype and the search space made from phenotype is usually quite different. This study tries to reveal the relation among genotype space, phenotype space, and fitness landscape using transfer entropy. The preliminary experiment shows a promising result.

Keywords

Evolutionary computation Genetic algorithm Genotype Phenotype Diversity Search performance Entropy Transfer entropy 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.1-10-20 HashirimizuYokosuka, KanagawaJapan

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