Inproceedings,

A Data Structure for Improved GP Analysis via Efficient Computation and Visualisation of Population Measures

, and .
Genetic Programming 7th European Conference, EuroGP 2004, Proceedings, volume 3003 of LNCS, page 35--46. Coimbra, Portugal, Springer-Verlag, (5-7 April 2004)

Abstract

Population measures for genetic programs are defined and analysed in an attempt to better understand the behaviour of genetic programming. Some measures are simple, but do not provide sufficient insight. The more meaningful ones are complex and take extra computation time. Here we present a unified view on the computation of population measures through an information hyper-tree (iTree). The iTree allows for a unified and efficient calculation of population measures via a basic tree traversal.

Tags

Users

  • @brazovayeye

Comments and Reviews