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ITICSE
1997
ACM

A genetic algorithms tutorial tool for numerical function optimisation

9 years 10 months ago
A genetic algorithms tutorial tool for numerical function optimisation
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.
Edmund K. Burke, D. B. Varley
Added 06 Aug 2010
Updated 06 Aug 2010
Type Conference
Year 1997
Where ITICSE
Authors Edmund K. Burke, D. B. Varley
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