Chapter in Books

1. WONG, K.P. and WONG, Y.W.: 'Development of hybrid optimisation techniques based on genetic algorithms and simulated annealing', Progress in Evolutionary Computation, Lectures in Artificial Intelligence 956 Series by Springer-Verlag, 1995, pp. 127-154

2. WONG, K.P. and WONG, Y.W.: 'Development of parallel hybrid optimisation techniques based on genetic algorithms and simulated annealing', Progress in Evolutionary Computation, Lectures in Artificial Intelligence 956 Series by Springer-Verlag, 1995, pp. 155-165

3. WONG K.P. and LI A.: ‘A technique for improving the convergence characteristic of genetic algorithms and its application to a genetic-based load flow algorithm’. Simulated Evolution and Learning, JH Kim, X. Yao, T. Furuhasi (Eds), Lecture Notes in Artificial Intelligence 1285, Springer-Verlag, 1997, pp. 167-176.

4. LI, A. and WONG, K.P.: 'Animating the Evolution Process of Genetic Algorithms', Lecture Notes in Artificial Intelligence 1585, Springer-Verlag, 1998, pp 341-348.

5. WONG, K.P. and YURYEVICH, J.: 'Optimal Power Flow Method Using Evolutionary Programming', Lecture Notes in Artificial Intelligence 1585, Springer-Verlag, 1998, pp 405-412.

6. SHEBLE, G.B., WONG, K.P. and LAI, L.L.: ‘Information Technology Application’, Power System Restructuring and Deregulation: Trading, Performance and Information Technology, L.L. Lai (Ed.), John Wiley & Sons, Chichester, UK, 2001, pp. 353-415.

7. WONG, K.P. and LI, A.: ‘Virtual population and acceleration techniques for evolutionary power flow calculation in power systems’, in Evolutionary Optimisation, R. Sarker, M. Mohammadian and X. Yao (Eds), Kluwer Academic Publishers, USA, 2002, pp.329-345.