Kit Yan Chan
Ph.D., London South Bank University, UK
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)
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).
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.
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
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)
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)
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.
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.
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.
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,
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)
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.
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.
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.
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.