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Interactive interpolating crossover in grammatical evolution
Date Issued
2010-07
Date Available
2010-11-05T15:14:14Z
Abstract
Interactive interpolating crossover allows a user to quickly see a large number of individuals formed by interactively-controlled interpolation between two or more parents. We study it here for the first time in the context of grammatical evolution (GE). We define methods of quantifying the behaviour of interpolations and use them to compare two methods of performing interpolation and two encodings for GE, one standard and one new. We conclude that a Cartesian interpolation combined with a novel developmental-style GE encoding gives the most usable results. We make connections between our work and broader issues of genotype-phenotype mappings, landscapes, and operators.
Sponsorship
Science Foundation Ireland
Irish Research Council for Science, Engineering and Technology
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2010 IEEE
Subject – LCSH
Interpolation
Evolutionary computation
Genetic programming (Computer science)
Gene mapping
Web versions
Language
English
Status of Item
Peer reviewed
Part of
Evolutionary Computation (CEC), 2010 IEEE Congress on [proceedings]
Conference Details
IEEE World Congress on Computational Intelligence, Barcelona, Spain, 18-23 July
ISBN
978-1-4244-6909-3
This item is made available under a Creative Commons License
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