Practical Evaluation of Efficient Fitness Functions
for Binary Images
R. Vanyi. Applications of Evolutionary Computing,
EvoWorkshops2005: EvoBIO, EvoCOMNET, EvoHOT,
EvoIASP, EvoMUSART, EvoSTOC, volume 3449 of LNCS, page 314--324. Lausanne, Switzerland, Springer Verlag, (30 March-1 April 2005)
DOI: doi:10.1007/b106856
Abstract
Genetic Programming can be used to evolve complex
objects. One field, where GP may be used is image
analysis. There are several works using evolutionary
methods to process, analyse or classify images. All
these procedures need an appropriate fitness function,
that is a similarity measure. However, computing such
measures usually needs a lot of computational time. To
solve this problem, the notion of efficiently
computable fitness functions was introduced, and their
theory was already examined in detail. the practical
aspects of these fitness functions are discussed.
%0 Conference Paper
%1 vanyi:evows05
%A Vanyi, Robert
%B Applications of Evolutionary Computing,
EvoWorkshops2005: EvoBIO, EvoCOMNET, EvoHOT,
EvoIASP, EvoMUSART, EvoSTOC
%C Lausanne, Switzerland
%D 2005
%E Rothlauf, Franz
%E Branke, Juergen
%E Cagnoni, Stefano
%E Corne, David W.
%E Drechsler, Rolf
%E Jin, Yaochu
%E Machado, Penousal
%E Marchiori, Elena
%E Romero, Juan
%E Smith, George D.
%E Squillero, Giovanni
%I Springer Verlag
%K algorithms, computation evolutionary genetic programming,
%P 314--324
%R doi:10.1007/b106856
%T Practical Evaluation of Efficient Fitness Functions
for Binary Images
%V 3449
%X Genetic Programming can be used to evolve complex
objects. One field, where GP may be used is image
analysis. There are several works using evolutionary
methods to process, analyse or classify images. All
these procedures need an appropriate fitness function,
that is a similarity measure. However, computing such
measures usually needs a lot of computational time. To
solve this problem, the notion of efficiently
computable fitness functions was introduced, and their
theory was already examined in detail. the practical
aspects of these fitness functions are discussed.
%@ 3-540-25396-3
@inproceedings{vanyi:evows05,
abstract = {Genetic Programming can be used to evolve complex
objects. One field, where GP may be used is image
analysis. There are several works using evolutionary
methods to process, analyse or classify images. All
these procedures need an appropriate fitness function,
that is a similarity measure. However, computing such
measures usually needs a lot of computational time. To
solve this problem, the notion of efficiently
computable fitness functions was introduced, and their
theory was already examined in detail. the practical
aspects of these fitness functions are discussed.},
added-at = {2008-06-19T17:46:40.000+0200},
address = {Lausanne, Switzerland},
author = {Vanyi, Robert},
biburl = {https://www.bibsonomy.org/bibtex/2543776bd8fdec1bee2fc56eced2c337e/brazovayeye},
booktitle = {Applications of Evolutionary Computing,
EvoWorkshops2005: {EvoBIO}, {EvoCOMNET}, {EvoHOT},
{EvoIASP}, {EvoMUSART}, {EvoSTOC}},
doi = {doi:10.1007/b106856},
editor = {Rothlauf, Franz and Branke, Juergen and Cagnoni, Stefano and Corne, David W. and Drechsler, Rolf and Jin, Yaochu and Machado, Penousal and Marchiori, Elena and Romero, Juan and Smith, George D. and Squillero, Giovanni},
interhash = {938cdc85d55cc4d0d6bdaf42a7838727},
intrahash = {543776bd8fdec1bee2fc56eced2c337e},
isbn = {3-540-25396-3},
issn = {0302-9743},
keywords = {algorithms, computation evolutionary genetic programming,},
month = {30 March-1 April},
notes = {EvoWorkshops2005},
pages = {314--324},
publisher = {Springer Verlag},
publisher_address = {Berlin},
series = {LNCS},
timestamp = {2008-06-19T17:53:36.000+0200},
title = {Practical Evaluation of Efficient Fitness Functions
for Binary Images},
volume = 3449,
year = 2005
}