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On genetic algorithms minimizing a class of FSA with fuzzy automata

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Kelarev, A (2004) On genetic algorithms minimizing a class of FSA with fuzzy automata. In: AISAT 2004, "Artificial Intelligence in Science and Technology 2004", Hobart, School of Engineering.

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Abstract

Finite state automata are crucial for numerous practical algorithms of computer science. We show how to use genetic algorithms and fuzzy automata to simplify a class of FSA defined by labeled graphs and considered in computer science and engineering literature.

Item Type: Conference or Workshop Item (Paper)
Keywords: finite systems theory, genetic algorithms, fuzzy logic, fuzzy systems theory
Publisher: School of Engineering
Page Range: pp. 192-195
Date Deposited: 16 Mar 2005
Last Modified: 18 Nov 2014 03:10
URI: http://eprints.utas.edu.au/id/eprint/163
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