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Grammar-based Genetic programming: A survey

McKay, R.I. and Hoai, N.X. and Whigham, P.A. and Shan, Y. and O'neill, M. (2010) Grammar-based Genetic programming: A survey. Genetic Programming and Evolvable Machines, 11 (3/4/20). pp. 365-396. ISSN 13892576

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Abstract

Grammar formalisms are one of the key representation structures in Computer Science. So it is not surprising that they have also become important as a method for formalizing constraints in Genetic Programming (GP). Practical grammar-based GP systems first appeared in the mid 1990s, and have subsequently become an important strand in GP research and applications. We trace their subsequent rise, surveying the various grammar-based formalisms that have been used in GP and discussing the contributions they have made to the progress of GP. We illustrate these contributions with a range of applications of grammar-based GP, showing how grammar formalisms contributed to the solutions of these problems. We briefly discuss the likely future development of grammar-based GP systems, and conclude with a brief summary of the field. © Springer Science+Business Media, LLC 2010.

Item Type: Article
Divisions: Faculties > Faculty of Information Technology
Identification Number: 10.1007/s10710-010-9109-y
Uncontrolled Keywords: Applications of grammars; Context-free; Evolutionary computation; Evolutionary computations; Grammar formalisms; Grammar-based genetic programming; Regular tree; Research and application; Context free grammars; Genetic algorithms; Surveys; Genetic programming
Additional Information: Language of original document: English. All Open Access, Green.
URI: http://eprints.lqdtu.edu.vn/id/eprint/10170

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