An implicit context representation for evolving image processing filters

S L Smith; S Leggett; A M Tyrrell

An implicit context representation for evolving image processing filters

Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper describes the implementation of a representation for Cartesian Genetic Programming (CGP) in which the specific location of genes within the chromosome has no direct or indirect influence on the phenotype. The mapping between the genotype and phenotype is determined by self-organised binding of the genes, inspired by enzyme biology. This representation has been applied to a version of CGP developed especially for evolution of image processing filters and preliminary results show it outperforms the standard representation in some configurations.

Original language	English
Title of host publication	APPLICATIONS OF EVOLUTIONARY COMPUTING, PROCEEDINGS
Editors	F Rothlauf, J Branke, S Cagnoni, DW Corne, R Drechsler, Y Jin, P Machado, E Marchiori, J Romero, GD Smith, G Squillero
Place of Publication	BERLIN
Publisher	Springer
Pages	407-416
Number of pages	10
ISBN (Print)	3-540-25396-3
Publication status	Published - 2005
Event	8th European Conference on Genetic Programming - Lausanne Duration: 30 Mar 2005 → 1 Apr 2005

Conference

Conference	8th European Conference on Genetic Programming
City	Lausanne
Period	30/03/05 → 1/04/05

Cite this

@inproceedings{c2c10267cbc94cb0b483df47a54d8304,

title = "An implicit context representation for evolving image processing filters",

abstract = "This paper describes the implementation of a representation for Cartesian Genetic Programming (CGP) in which the specific location of genes within the chromosome has no direct or indirect influence on the phenotype. The mapping between the genotype and phenotype is determined by self-organised binding of the genes, inspired by enzyme biology. This representation has been applied to a version of CGP developed especially for evolution of image processing filters and preliminary results show it outperforms the standard representation in some configurations.",

author = "Smith, {S L} and S Leggett and Tyrrell, {A M}",

year = "2005",

language = "English",

isbn = "3-540-25396-3",

pages = "407--416",

editor = "F Rothlauf and J Branke and S Cagnoni and DW Corne and R Drechsler and Y Jin and P Machado and E Marchiori and J Romero and GD Smith and G Squillero",

booktitle = "APPLICATIONS OF EVOLUTIONARY COMPUTING, PROCEEDINGS",

publisher = "Springer",

address = "Germany",

note = "8th European Conference on Genetic Programming ; Conference date: 30-03-2005 Through 01-04-2005",

}

Smith, SL, Leggett, S & Tyrrell, AM 2005, An implicit context representation for evolving image processing filters. in F Rothlauf, J Branke, S Cagnoni, DW Corne, R Drechsler, Y Jin, P Machado, E Marchiori, J Romero, GD Smith & G Squillero (eds), APPLICATIONS OF EVOLUTIONARY COMPUTING, PROCEEDINGS. Springer, BERLIN, pp. 407-416, 8th European Conference on Genetic Programming, Lausanne, 30/03/05.

An implicit context representation for evolving image processing filters. / Smith, S L; Leggett, S; Tyrrell, A M.
APPLICATIONS OF EVOLUTIONARY COMPUTING, PROCEEDINGS. ed. / F Rothlauf; J Branke; S Cagnoni; DW Corne; R Drechsler; Y Jin; P Machado; E Marchiori; J Romero; GD Smith; G Squillero. BERLIN: Springer, 2005. p. 407-416.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - An implicit context representation for evolving image processing filters

AU - Smith, S L

AU - Leggett, S

AU - Tyrrell, A M

PY - 2005

Y1 - 2005

N2 - This paper describes the implementation of a representation for Cartesian Genetic Programming (CGP) in which the specific location of genes within the chromosome has no direct or indirect influence on the phenotype. The mapping between the genotype and phenotype is determined by self-organised binding of the genes, inspired by enzyme biology. This representation has been applied to a version of CGP developed especially for evolution of image processing filters and preliminary results show it outperforms the standard representation in some configurations.

AB - This paper describes the implementation of a representation for Cartesian Genetic Programming (CGP) in which the specific location of genes within the chromosome has no direct or indirect influence on the phenotype. The mapping between the genotype and phenotype is determined by self-organised binding of the genes, inspired by enzyme biology. This representation has been applied to a version of CGP developed especially for evolution of image processing filters and preliminary results show it outperforms the standard representation in some configurations.

M3 - Conference contribution

SN - 3-540-25396-3

SP - 407

EP - 416

BT - APPLICATIONS OF EVOLUTIONARY COMPUTING, PROCEEDINGS

A2 - Rothlauf, F

A2 - Branke, J

A2 - Cagnoni, S

A2 - Corne, DW

A2 - Drechsler, R

A2 - Jin, Y

A2 - Machado, P

A2 - Marchiori, E

A2 - Romero, J

A2 - Smith, GD

A2 - Squillero, G

PB - Springer

CY - BERLIN

T2 - 8th European Conference on Genetic Programming

Y2 - 30 March 2005 through 1 April 2005

ER -