On genetic algorithms minimizing a class of FSA with fuzzy automata

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
ID Code:	163
Deposited By:	utas eprints
Deposited On:	16 Mar 2005
Last Modified:	18 Jul 2008 19:38
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