Guided Genetic Algorithm

	T L Lau		Edward Tsang

Guided Genetic Algorithm (GGA) is a hybrid system between Genetic Algorithm and GLS. Outstanding results have been found in:

• The radio length frequency assignment problem
• The general assignment problem
• The processors configuration problem
• The royal road function

Details of this research can be found in Dr Lau's PhD thesis.

Publications

Acknowledgements

This research was a continuation of the GENET and GLS project, which was funded by EPSRC grant GR/H75275 from 1st January 1993 to 30th September 1995. Edward Tsang, Chang Wang, Jim Doran, James Borrett, Andrew Davenport, Kangmin Zhu and Chris Voudouris (in chronological order) have all contributed to the GENET / GLS project. T.L.Lau is sponsored by a University of Essex Scholarship, 1995-1998.

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