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International Conference on Mechanical Engineering and Technology (ICMET-London 2011)

Editor
Garry Lee
Garry Lee
Information Engineering Research Institute
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ISBN:
9780791859896
No. of Pages:
906
Publisher:
ASME Press
Publication date:
2011

By studying the problem that the optimal individual combination is destroyed by the subpopulations' independent evolution in cooperative co-evolutionary genetic algorithm (CCGA), A improved algorithms which introduces the method of optimal individual preservation is applied in typical complex function optimization problem in this paper. Firstly, save the optimal results in current generation. Secondly, each sub-population evolves. Find optimal results in new generations and compare with the one saved before. Then carrying out the optimal individuals combination preservation method in order to make sure the optimal individualcombination is not destroyed. Finally, two typical test functions are chose to detect the improved algorithms. The experimental results show the effectiveness of the improved algorithms.

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