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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