By Topic

An improved genetic algorithm for the inference of finite state machine

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Niparnan, N. ; Comput. Eng. Dept., Chulalongkom Univ., Bangkok, Thailand ; Chongstitvatana, P.

We propose a new method for the use of genetic algorithm to synthesize a finite state machine (FSM) consistent with a given input/output sequence set. Our approach improves the method previously used by many researchers based on omitting the evolution of the complete FSM, but rather evolve only the state transition function. The output is later inferred from the input/output sequence set. The results show that our method is able to solve a much larger problem size than the previous approach.

Published in:

Systems, Man and Cybernetics, 2002 IEEE International Conference on  (Volume:7 )

Date of Conference:

6-9 Oct. 2002