Bibliographic Details
| Title: |
Evolutionary algorithms using a neural network like migration scheme. |
| Authors: |
Villmann, Thomas |
| Source: |
Integrated Computer-Aided Engineering. 2002, Vol. 9 Issue 1, p25. 11p. |
| Subjects: |
Algorithms, Artificial neural networks, Iterative methods (Mathematics) |
| Abstract: |
We introduce a multiple subpopulation approach for parallel evolutionary algorithms the migration scheme of which follows a neural network learning like dynamic. It is adapted from the approach of collective learning in self-organizing maps with a more and more separation during time. We succesfully apply this approach to clustering real world data in psychotherapy research and VLSI-design. The advantages of the approach are shown which consist in a reduced communication overhead between the subpopulations preserving a non-vanishing information flow and an improved convergence rate resulting in decreasing computational costs. [ABSTRACT FROM AUTHOR] |
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| Database: |
Engineering Source |
