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  5. Implementing an intuitive mutation operator for interactive evolutionary 3D design
 
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Implementing an intuitive mutation operator for interactive evolutionary 3D design

Author(s)
Byrne, Jonathan  
McDermott, James  
Galván-López, Edgar  
O'Neill, Michael  
Uri
http://hdl.handle.net/10197/2577
Date Issued
2010-07
Date Available
2010-11-24T14:37:57Z
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.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2010 IEEE
Subjects

Evolutionary design

Mutation

Grammatical evolution...

Genetic programming

Evolutionary computat...

Natural computing

Subject – LCSH
Evolutionary computation
Computer graphics
Genetic programming (Computer science)
Natural computation
DOI
10.1109/CEC.2010.5586485
Web versions
http://dx.doi.org/10.1109/CEC.2010.5586485
Language
English
Status of Item
Peer reviewed
Journal
2010 IEEE Congress on Evolutionary Computation (CEC) [proceedings]
Conference Details
Congress on Evolutionary Computation, IEEE World Congress on Computational Intelligence, Barcelona, Spain, 18-23 July 2010
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
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Implementing.pdf

Size

330.4 KB

Format

Adobe PDF

Checksum (MD5)

09c8e60d45e4cdc19aa8edc7e7024180

Owning collection
Computer Science Research Collection
Mapped collections
CASL Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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