Li, Y. , Tan, K.C. and Gong, M.R. (1997) Model reduction in control systems by means of global structure evolution and local parameter learning. In: Dasgupta, D. and Michalewicz, Z. (eds.) Evolutionary Algorithms in Engineering Applications. Springer Verlag: Berlin, pp. 345-360. ISBN 9783540620211
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Abstract
This chapter develops a Boltzmann learning refined evolution method to perform model reduction for systems and control engineering applications. The evolutionary technique offers the global search power from the “generational” Darwinism combined with “biological” Lamarckism. The evolution is further enhanced by interactive fine-learning realised by Boltzmann selection in a simulated annealing manner. This hybrid evolution program overcomes the well-known problems of chromosome stagnation and weak local exploration.
| Item Type: | Book Sections |
|---|---|
| Status: | Published |
| Glasgow Author(s) Enlighten ID: | Li, Professor Yun |
| Authors: | Li, Y., Tan, K.C., and Gong, M.R. |
| Subjects: | Q Science > Q Science (General) |
| College/School: | College of Science and Engineering > School of Engineering > Systems Power and Energy |
| Publisher: | Springer Verlag |
| ISBN: | 9783540620211 |
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