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Output details

13 - Electrical and Electronic Engineering, Metallurgy and Materials

University of York

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Article title

The Automatic Acquisition, Evolution and Re-use of Modules in Cartesian Genetic Programming

Type

D - Journal article

DOI

10.1109/TEVC.2007.903549

Title of journal

IEEE Transactions on Evolutionary Computation

Article number

Volume number

Issue number

First page of article

397

ISSN of journal

1089-778X

Year of publication

2008

URL

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4358780

Number of additional authors

Additional information

The paper advances evolutionary computing. It is the definitive journal article on automatically evolved sub-functions in Cartesian Genetic Programming (CGP). CGP, invented by Miller, has become a highly cited technique used in evolutionary computation. The paper includes detailed statistically rigorous comparisons with other GP methods and shows that CGP is one of the most efficient forms of Genetic Programming. The results contributed to work undertaken in an EPSRC funded project (EP/F062192/1).

Interdisciplinary

Cross-referral requested

Research group

B - Intelligent Systems

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract