Viewing the Problem from Different Angles: A New Diversity Measure Based on Angular Distances. (1st March 2010)

• Record Type: Journal Article
• Authors: Berg, Henrik
• Other Names: Krasnogor Natalio Academic Editor.
• Is Part Of: Journal of artificial evolution and applications. Volume 2009(2009)
• Publication Date: 2010-03-01
• Subjects: Evolutionary programming (Computer science) -- Periodicals; Evolutionary programming (Computer science); Periodicals; Electronic journals; 006.3823
• DOI: 10.1155/2009/896595
• Languages: English
• ISSNs: 1687-6229

Abstract

Abstract : 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.