Dr.
Kit Yan Chan
Curtin
University, Australia
Email: kit.chan@curtin.edu.au
Qualifications:
2006
Ph.D., London South Bank University, UK
Publications
(selected)
-
S.H.
Ling, H.H.C. Iu, K.Y. Chan, H.K. Lam, C.W. Yeung, and F.H.F. Leung, Hybrid
particle swarm optimization with wavelet mutation and its industrial
applications, IEEE Transactions Systems, Man and Cybernetic - B, vol. 38, no.
3, pp. 743-763, 2008. (the applications are about power system stability)
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K.Y.
Chan, K.F.C. Yiu, T.S. Dillon and S.H. Ling, Enhancement of speech recognitions
for control automation using an intelligent particle swarm optimization, IEEE
Transactions on Industrial Informatics, (accepted with minor revision).
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K.Y.
Chan, K.W. Chan, G.T.Y. Pong, and M.E. Aydin, A statistics-based genetic
algorithm for quality improvements of power supplies, European Journal of
Industrial Engineering, vol. 3, no. 4, pp. 468-492, 2009.
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K.Y.
Chan, S.H. Ling, K.W. Chan, G.T.Y. Pong, and H.H.C. Iu, Solving
transient-stability constrained optimal power flow problems with wavelet
mutation based hybrid particle swarm optimization, International Journal of
Information and Systems Sciences, vol. 4, no. 4, pp. 585-601, 2008. (invited
paper)
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K.Y.
Chan, G. T. Y. Pong and K. W. Chan, Investigation of Hybrid
Particle Swarm Optimization Methods for Solving Transient-Stability Constrained
Optimal Power Flow Problems, Engineering Letters, Vol. 16, No. 1, pp. 61-67,
2008. (invited paper)
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K.Y.
Chan, T.C. Fogarty, M. Emin Aydin, S.H. Ling, H.H.C. Iu, Genetic algorithms
with dynamic mutation rates and their industrial applications, International
Journal of Computational Intelligence and Applications, vol. 7, no. 2, pp.
103-128, 2008. (the applications are about power system stability)
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K.F.C.
Yiu, K.Y. Chan, S.Y. Low, and S. Nordholm, A multi-filter system for speech
enhancement under low signal-to-noise ratios, Journal of Industrial and Management
Optimization, vol. 5, no. 3, pp. 671-682, 2009.
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K.Y
Chan, T.S. Dillon and C.K. Kwong, Modeling a liquid epoxy molding process using
a particle swarm optimization based fuzzy regression, IEEE Transactions on
Industrial Informatics, 7(1), 148-158, 2011.
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C.K.
Kwong, Y. Chen, K.Y. Chan and H. Wong, Hybrid fuzzy least-squares regression
approach to modeling manufacturing processes, IEEE Transactions on Fuzzy
Systems, 16(3) 644-651, 2008.
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K.Y
Chan, C.K. Kwong, T.S. Dillon and Y.C. Tsim, Reducing overfitting
in manufacturing process modeling using a backward elimination based genetic
programming, Applied Soft Computing, Volume 11, Number 2, Pages 1648-1656,
March 2011.
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K.Y
Chan, T.S. Dillon and C.K. Kwong, Handling Uncertainties in Modelling
Manufacturing Processes with Hybrid Swarm Intelligence, International Journal
of Production Research 2011. (DOI: 10.1080/00207543.2011.560206)
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K.Y
Chan, C.K. Kwong and T.C Fogarty, Modeling manufacturing processes using a
genetic programming based fuzzy regression with the detection of outliers,
Information Sciences, 180(4), 506-518, 2010.
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C.K.
Kwong, K.Y. Chan and Y.C. Tsim, A genetic algorithm based knowledge discovery
system for the design of fluid dispensing processes for electronic packaging,
Expert Systems with Applications, Vol. 36, pp. 3829-3838, 2009.
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S.H.
Ling, H.H.C. Iu, F.H.F. Leung and K.Y. Chan, Improved hybrid particle swarm
optimized wavelet neural network for modelling the development of fluid
dispensing for electronic packaging, IEEE Transactions on Industrial
Electronics, 55(9), 3447-3460, September 2008.
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K.Y
Chan, C.K. Kwong and Y.C Tsim, A fuzzy nonlinear regression based on genetic
programming to modeling manufacturing processes, International Journal of
Production Research, Vol. 48, No. 7, pp. 1967-1982, 2009.
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