Evaluating GP schema in context

Hammad Majeed, Conor Ryan, R. Muhammad Atif Azad

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

Abstract

We propose a new methodology to look at the fitness contributions (semantics) of different schemata in Genetic Programming (GP). We hypothesize that the significance of a schema can be evaluated by calculating its fitness contribution to the total fitness of the trees that contain it, and use our methodology to test this hypothesis. It is shown that this method can also be used to identify schemata that are important in terms of both individual runs and individual problems (that is, schema that will be important across many runs on a particular problem). The usefulness of this study to existing schema theories and its effective use in the detection of introns, in the identification of potentially useful modular functions are also discussed in this paper.

Original languageEnglish
Title of host publicationGECCO 2005 - Genetic and Evolutionary Computation Conference
EditorsH.G. Beyer, U.M. O'Reilly, D. Arnold, W. Banzhaf, C. Blum, E.W. Bonabeau, E. Cantu-Paz, D. Dasgupta, K. Deb, al et al
Pages1773-1774
Number of pages2
DOIs
Publication statusPublished - 2005
EventGECCO 2005 - Genetic and Evolutionary Computation Conference - Washington, D.C., United States
Duration: 25 Jun 200529 Jun 2005

Publication series

NameGECCO 2005 - Genetic and Evolutionary Computation Conference

Conference

ConferenceGECCO 2005 - Genetic and Evolutionary Computation Conference
Country/TerritoryUnited States
CityWashington, D.C.
Period25/06/0529/06/05

Keywords

  • Module Acquisition
  • Schema Theory
  • Tree Semantics

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