Visualization of evolutionary computation processes: From the perspective of population

Hsu Chih Wu*, Chuen-Tsai Sun, Sih Shin Lee

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

4 Scopus citations

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 languageEnglish
Pages2077-2081
Number of pages5
StatePublished - 17 Sep 2004
EventWCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings - Hangzhou, China
Duration: 15 Jun 200419 Jun 2004

Conference

ConferenceWCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings
CountryChina
CityHangzhou
Period15/06/0419/06/04

Keywords

  • Evolutionary Computation
  • Genetic Algorithm
  • Information Visualization

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