Implementing an Intuitive Mutation Operator for Interactive Evolutionary 3D Design
Citation:
Jonathan Byrne, James McDermott, Edgar Galvan-Lopez and Michael O Neill., Implementing an Intuitive Mutation Operator for Interactive Evolutionary 3D Design, Proceedings of the 12th Annual Congress on Evolutionary Computation, CEC 2010: 12th Annual Congress on Evolutionary Computation, Barcelona, Spain, 18-23 July, IEEE Press, 2010, 2919 2925Download Item:
Abstract:
Locality - how well neighbouring genotypes correspond
to neighbouring phenotypes - has been described as a key
element in Evolutionary Computation. Grammatical Evolution
(GE) is a generative system as it uses grammar rules to derive a
program from an integer encoded genome. The genome, upon
which the evolutionary process is carried out, goes through
several transformations before it produces an output. The aim
of this paper is to investigate the impact of locality during
the generative process using both qualitative and quantitative
techniques. To explore this, we examine the effects of standard
GE mutation using distance metrics and conduct a survey of
the output designs. There are two different kinds of event that
occur during standard GE Mutation. We investigate how each
event type affects the locality on different phenotypic stages when
applied to the problem of interactive design generation.
Sponsor
Grant Number
Science Foundation Ireland (SFI)
08/IN.1/I1868
Author's Homepage:
http://people.tcd.ie/galvanleDescription:
PUBLISHEDBarcelona, Spain
Author: GALVAN-LOPEZ, EDGAR
Sponsor:
Science Foundation Ireland (SFI)Other Titles:
Proceedings of the 12th Annual Congress on Evolutionary ComputationCEC 2010: 12th Annual Congress on Evolutionary Computation
Publisher:
IEEE PressType of material:
Conference PaperCollections
Availability:
Full text availableKeywords:
Applied mathematics, GE MutationSubject (TCD):
Genes & SocietyMetadata
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