A genetic algorithms tutorial tool for numerical function optimisation

Authors:
E. K. Burke;D. B. Varley
Affiliations:
Automated Scheduling And Planning Group, Department of Computer Science, University of Nottingham, Nottingham, UK;Automated Scheduling And Planning Group, Department of Computer Science, University of Nottingham, Nottingham, UK
Venue:
Proceedings of the 2nd conference on Integrating technology into computer science education
Year:
1997

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Abstract

The field of Genetic Algorithms has grown into a huge area over the last few years. Genetic Algorithms are adaptive methods, which can be used to solve search and optimisation problems over a period of generations, based upon the principles of natural selection and survival of the fittest. This paper describes an innovative tool to introduce the basics of the subject of Genetic Algorithms called GAVIn (Genetic Algorithms Visual Interface). It focuses on the domain of numerical function optimisation problems as these form a good basis for learning and operator comparison. The other problem domains are too varied and problem dependent to form a general, robust learning tool.