On the constructiveness of context-aware crossover

Hammad Majeed, Conor Ryan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Crossover in Genetic Programming is mostly a destructive operator, generally producing children worse than the parents and occasionally producing those who are better. A recently introduced operator, Context-Aware Crossover, which implicitly discovers the best possible crossover site for a subtree has been shown to consistently attain higher fitnesses while processing fewer individuals.It has been observed that context-aware crossover is similar to Brood Crossover in that multiple children are produced during each crossover event. This paper performs a thorough analysis of these crossover operators and compares the performance of the two and demonstrates that, although they do work similarly, context-aware crossover performs a far better sampling of the search space and thus performs much better.We also demonstrate that context-aware crossover benefits from a speed up of almost an order of magnitude when using a simple and very small cache, which is over two orders of magnitute smaller than caches typically used.

Original languageEnglish
Title of host publicationProceedings of GECCO 2007
Subtitle of host publicationGenetic and Evolutionary Computation Conference
Pages1659-1666
Number of pages8
DOIs
Publication statusPublished - 2007
Event9th Annual Genetic and Evolutionary Computation Conference, GECCO 2007 - London, United Kingdom
Duration: 7 Jul 200711 Jul 2007

Publication series

NameProceedings of GECCO 2007: Genetic and Evolutionary Computation Conference

Conference

Conference9th Annual Genetic and Evolutionary Computation Conference, GECCO 2007
Country/TerritoryUnited Kingdom
CityLondon
Period7/07/0711/07/07

Keywords

  • Cache
  • Constructive
  • Context
  • Context-aware crossover
  • Crossover
  • Fitness

Fingerprint

Dive into the research topics of 'On the constructiveness of context-aware crossover'. Together they form a unique fingerprint.

Cite this