Visualization of evolutionary computation processes: From the perspective of population

Hsu Chih Wu; Chuen-Tsai Sun; Sih Shin Lee

Visualization of evolutionary computation processes: From the perspective of population

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

^*Corresponding author for this work

Department of Computer Science

Research output: Contribution to conference › Paper › peer-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 language	English
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
Country	China
City	Hangzhou
Period	15/06/04 → 19/06/04

Keywords

Evolutionary Computation
Genetic Algorithm
Information Visualization

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title = "Visualization of evolutionary computation processes: From the perspective of population",

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.",

keywords = "Evolutionary Computation, Genetic Algorithm, Information Visualization",

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N2 - 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.

AB - 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.

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KW - Information Visualization

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