Interactive interpolating crossover in grammatical evolution

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Title: Interactive interpolating crossover in grammatical evolution
Authors: McDermott, James
O'Neill, Michael
Brabazon, Anthony
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Date: Jul-2010
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.
Funding Details: Science Foundation Ireland
Irish Research Council for Science, Engineering and Technology
Type of material: Conference Publication
Publisher: IEEE
Copyright (published version): 2010 IEEE
Keywords: CrossoverGrammatical evolutionInterpolationGenetic programmingEvolutionary computationNatural computing
Subject LCSH: Interpolation
Evolutionary computation
Genetic programming (Computer science)
Gene mapping
DOI: 10.1109/CEC.2010.5585937
Language: en
Status of Item: Peer reviewed
Is part of: Evolutionary Computation (CEC), 2010 IEEE Congress on [proceedings]
Conference Details: IEEE World Congress on Computational Intelligence, Barcelona, Spain, 18-23 July
Appears in Collections:Computer Science Research Collection
CASL Research Collection

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