Grammar-based Genetic programming: A survey

Robert I. McKay, Nguyen Xuan Hoai, Peter Alexander Whigham, Yin Shan, Michael O'neill

Research output: Contribution to journalArticlepeer-review

279 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)365-396
Number of pages32
JournalGenetic Programming and Evolvable Machines
Volume11
Issue number3-4
DOIs
Publication statusPublished - Sept 2010
Externally publishedYes

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