Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers
The 47th Annual Conference of the Institute of Systems, Control and Information Engineers
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Optimal Structuring of Genetic Network Programming
Masayuki Hashimoto, Tatsuya Masuda, Ryou Higoi
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Keywords: genetic algorithm, heterogeneous populations, Genetic Network Programming, the food capture problem of ants
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Pages 6052

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Abstract
The existing Genetic Network Programming (GNP) has a problem that the optimal number of nodes in GNP must be determined by trial and error. In this paper, we propose a method for determining the optimal number of nodes in GNP automatically, using genetic algorithm based on the coexistence of heterogeneous populations. Furthermore, we apply the proposal method to the food capture problem of ants, and demonstrate its effectiveness.
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© 2003 The Institute of Systems, Control and Information Engineers
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