Abstract
The authors investigate a visualization framework for the evolutionary process of genetic algorithms. Our framework differs from most existing methods in that it visualizes evolutionary processes from a population viewpoint, rather than chromosomal or problem spaces. A simple sexual selection model is used for demonstration purposes. We purpose four visualization methods that are based on the framework. Those methods show how evolutionary trends and population characteristics are visually depicted. The framework is both user-friendly and extendable to other problems and models that address population changes over time.
Original language | English |
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Pages | 2077-2081 |
Number of pages | 5 |
State | Published - 17 Sep 2004 |
Event | WCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings - Hangzhou, China Duration: 15 Jun 2004 → 19 Jun 2004 |
Conference
Conference | WCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings |
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Country | China |
City | Hangzhou |
Period | 15/06/04 → 19/06/04 |
Keywords
- Evolutionary Computation
- Genetic Algorithm
- Information Visualization