Abstract:
We introduce a multiple subpopulation approach for parallel evolutionary algorithms the migration scheme of which follows a SOM-like dynamics. We succesfully apply this approach to clustering in both VLSI-design and psychotherapy research. The advantages of the approach are shown which consist in a reduced communication overhead between the subpopulations preserving a non-vanishing information flow.
Appeared / Erschienen in:
Proc. of the 4th International Conference on Artificial Neural Networks and Genetic Algorithms (ICANNGA'99), pp. 274-279. Springer-Verlag, Wien, New York, 1999.
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