Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/7608
Title: Evolve schema directly using instruction matrix based genetic programming
Authors: Li, Gang 
Lee, Kin Hong 
Prof. LEUNG Kwong Sak 
Issue Date: 2005
Publisher: Springer Verlag
Source: Lecture Notes in Computer Science, 2005, Vol. 3447, pp. 271 - 280
Journal: Lecture Notes in Computer Science 
Abstract: This paper proposes a new architecture for tree-based genetic programming to evolve schema directly. It uses fixed length hsexpressions 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. © Springer-Verlag Berlin Heidelberg 2005.
Type: Conference Paper
URI: http://hdl.handle.net/20.500.11861/7608
ISSN: 03029743
DOI: 10.1007/978-3-540-31989-4_24
Appears in Collections:Applied Data Science - Publication

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