DocumentCode
3037976
Title
Visual analysis of evolutionary algorithms
Author
Wu, Annie S. ; De Jong, Kenneth A. ; Burke, Donald S. ; Grefenstette, John J. ; Ramsey, Connie Loggia
Author_Institution
Naval Res. Lab., Washington, DC, USA
Volume
2
fYear
1999
fDate
1999
Abstract
The non-linear complexity of evolutionary algorithms (EAs) make them a challenge to understand. The difficulty in performing detailed analyses of an EA is in sorting through the large amount of of data that can be generated in a single run. This paper describes a visualization tool that facilitates navigation through the details of an EA run. The visualization tool organizes and displays EA data at various levels of detail and allows for easy transitions between related pieces of data
Keywords
data visualisation; evolutionary computation; data; evolutionary algorithms; navigation; nonlinear complexity; visual analysis; visualization tool; Algorithm design and analysis; Computer science; Data visualization; Evolutionary computation; Genetics; Laboratories; Navigation; Performance analysis; Sorting; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on
Conference_Location
Washington, DC
Print_ISBN
0-7803-5536-9
Type
conf
DOI
10.1109/CEC.1999.782649
Filename
782649
Link To Document