DocumentCode
3398462
Title
Visualizing the loss of diversity in genetic programming
Author
Daida, J.M. ; Ward, David J. ; Hilss, Adam M. ; Long, Stephen L. ; Hodges, Mark R. ; Kriesel, Jason T.
Author_Institution
Center for the Study of Complex Syst. & Space Phys. Res. Lab., Ann Arbor, MI, USA
Volume
2
fYear
2004
fDate
19-23 June 2004
Firstpage
1225
Abstract
This work introduces visualization techniques that allow for a multivariate approach in understanding the dynamics that underlie genetic programming (GP). Emphasis is given toward understanding the relationship between problem difficulty and the loss of diversity. The visualizations raise questions about diversity and problem solving efficacy, as well as the role of the initial population in determining solution outcomes.
Keywords
data visualisation; genetic algorithms; genetic programming; initial population; problem solving efficacy; visualization techniques; Convergence; Data visualization; Dynamic programming; Evolutionary computation; Genetic programming; Laboratories; Particle measurements; Problem-solving; Robustness; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2004. CEC2004. Congress on
Print_ISBN
0-7803-8515-2
Type
conf
DOI
10.1109/CEC.2004.1331037
Filename
1331037
Link To Document