Xin Yao's Research Interests: Evolving Rule-based Systems for Nonlinear
Control Problems
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.
Selected Papers
- 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)
(Available as
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
April
1997, Indianapolis, USA, pp.331--336.
Available as
bobbin_yao_icec97.ps.gz.