Abstract
We evaluate how visualization of an evolutionary computation (EC) landscape is effective using a geophysical task. This technique allows us to actively participate in EC optimization by viewing the distribution of searching points on 2-D space mapped from an n-D EC landscape, and indicating where in the EC is the possible global optimum. We construct a Visualized GA system that includes self-organizing maps for visualization and compare its performance with that of a normal GA using the geophysical simulation task. Sign tests for the comparisons show that the Visualized GA converges significantly faster than the normal EC (p < 001), which suggests further extensions to enhance user interactivity.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the IEEE Conference on Evolutionary Computation, ICEC |
| Pages | 880-886 |
| Number of pages | 7 |
| Volume | 2 |
| Publication status | Published - 2001 |
| Externally published | Yes |
| Event | Congress on Evolutionary Computation 2001 - Seoul, Korea, Republic of Duration: May 27 2001 → May 30 2001 |
Other
| Other | Congress on Evolutionary Computation 2001 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Seoul |
| Period | 5/27/01 → 5/30/01 |
All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Engineering(all)