The Open UniversitySkip to content
 

Using software visualization technology to help evolutionary algorithm users validate their solutions

Collins, Trevor (1997). Using software visualization technology to help evolutionary algorithm users validate their solutions. In: Seventh International Conference on Genetic Algorithms (ICGA'97), 19 - 23 July 1997, East Lansing, MI, USA.

URL: http://citeseerx.ist.psu.edu/viewdoc/download?doi=...
Google Scholar: Look up in Google Scholar

Abstract

Evolutionary Computation (EC) offers a variety of robust search techniques, each of which operate by means of an evolutionary-based search algorithm. In order to assess the quality of any solutions found, the user must understand the search path taken to discover them. Software Visualization is recommended as a useful technique for aiding such understanding. This paper gives an introduction to Software Visualization, reviews five existing techniques for presenting EC output data and presents a new technique suitable for visualizing EC search space. To conclude a summary table of all six visualization techniques, including comments and criticisms of each is given and the selection of appropriate visualization techniques is discussed. By presenting EC output data in a format that is easy to understand software visualization makes EC validation much simpler for the user.

Item Type: Conference Item
Copyright Holders: 1997 Unknown
Project Funding Details:
Funded Project NameProject IDFunding Body
Studentship94315065EPSRC (Engineering and Physical Sciences Research Council)
Academic Unit/Department: Knowledge Media Institute
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Related URLs:
Item ID: 28580
Depositing User: Kay Dave
Date Deposited: 17 May 2011 13:41
Last Modified: 24 Mar 2014 14:09
URI: http://oro.open.ac.uk/id/eprint/28580
Share this page:

Actions (login may be required)

View Item
Report issue / request change

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340   general-enquiries@open.ac.uk