Table of Contents
Journal of Artificial Evolution and Applications
Volume 2009, Article ID 896595, 11 pages
Research Article

Viewing the Problem from Different Angles: A New Diversity Measure Based on Angular Distances

1Østfold University College, Faculty of Computer Sciences, 1757 Halden, Norway
2Norwegian Defense Research Establishment (FFI), Maritime Systems Division, 3191 Horten, Norway

Received 19 May 2009; Accepted 1 December 2009

Academic Editor: Natalio Krasnogor

Copyright © 2009 Henrik Berg. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


It is commonly believed that diversity is crucial for an evolutionary system to succeed, especially when the problem to be solved contains local optima from which the population cannot easily escape. There exist numerous methods to measure population diversity, but none of these have been shown to be consistently useful. In this paper, a new diversity measure is introduced, and it is shown that high diversity according to this new measure generally leads to a more successful overall evolution in most of the cases considered.