Skip to main navigation Skip to search Skip to main content

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

307 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

Fingerprint

Dive into the research topics of 'Grammar-based Genetic programming: A survey'. Together they form a unique fingerprint.

Cite this