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
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;
Conference_Titel :
Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5536-9
DOI :
10.1109/CEC.1999.782649
