Evolve schema directly using instruction matrix based genetic programming

Authors:
Gang Li;Kin Hong Lee;Kwong Sak Leung
Affiliations:
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong;Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong;Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong
Venue:
EuroGP'05 Proceedings of the 8th European conference on Genetic Programming
Year:
2005

Citing 5
Cited 1

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Using instruction matrix based genetic programming to evolve programs

ISICA'07 Proceedings of the 2nd international conference on Advances in computation and intelligence

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Abstract

This paper proposes a new architecture for tree-based genetic programming to evolve schema directly. It uses fixed length hs-expressions to represent program trees, keeps schema information in an instruction matrix, and extracts individuals from it. In order to manipulate the instruction matrix and the hs-expression, new genetic operators and new matrix functions are developed. The experimental results verify that its results are better than those of the canonical genetic programming on the problems tested in this paper.