Xin Yao's Research Interests: Evolving Rule-based Systems for Nonlinear
Many nonlinear control problems are hard to solve analytically. They are
also difficult to solve using conventional optimsation or programming methods.
Evolutionary algorithms can play a significant role in tackling such problems.
In our own work, we have concentrated on evolving high-level rules that are
comprehensible by human beings so that the evolved rules can be analysed and
the knowledge transferred to solving other problems.
- J. Bobbin and X. Yao, ``Evolving rules for nonlinaer control,'' In
New Frontier in Computational
Intelligence and its Applications, Masoud Mohammadian (ed.), IOS Press,
Amsterdam, 2000, pp.197-202. (ISBN 90 5199 476 1)
a gzipped ps file.)
- J. Bobbin and X. Yao, ``Automatic Discovery of Relational Information in
Comprehensible Control Rules by Evolutionary Algorithms,'' Proceedings of
the Third Australia-Japan Joint Workshop on Intelligent and Evolutionary
Systems, Canberra, Australia, 23-25 November 1999, pp.117-123.
- J. Bobbin and X. Yao, ``Solving optimal control problems with a cost on
changing control by evolutionary algorithms,'' Proc. of 1997 IEEE
International Conference on Evolutionary Computation (ICEC'97), 13-16
1997, Indianapolis, USA, pp.331--336.