Detail publikace
Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP
SLANÝ, K. SEKANINA, L.
Originální název
Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP
Anglický název
Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP
Jazyk
en
Originální abstrakt
This work analyzes fitness landscapes for the image filter design problem approached using functional-level Cartesian Genetic Programming. Smoothness and ruggedness of fitness landscapes are investigated for five genetic operators. It is shown that the mutation operator and the single-point crossover operator generate the smoothest landscapes and thus they are useful for practical applications in this area. In contrast to the gate-level evolution, a destructive behavior of a simple crossover operator has not been confirmed.
Anglický abstrakt
This work analyzes fitness landscapes for the image filter design problem approached using functional-level Cartesian Genetic Programming. Smoothness and ruggedness of fitness landscapes are investigated for five genetic operators. It is shown that the mutation operator and the single-point crossover operator generate the smoothest landscapes and thus they are useful for practical applications in this area. In contrast to the gate-level evolution, a destructive behavior of a simple crossover operator has not been confirmed.
Dokumenty
BibTex
@inproceedings{BUT34270,
author="Karel {Slaný} and Lukáš {Sekanina}",
title="Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP",
annote="This work analyzes fitness landscapes for the image filter design problem
approached using functional-level Cartesian Genetic Programming. Smoothness and
ruggedness of fitness landscapes are investigated for five genetic operators. It
is shown that the mutation operator and the single-point crossover operator
generate the smoothest landscapes and thus they are useful for practical
applications in this area. In contrast to the gate-level evolution, a destructive
behavior of a simple crossover operator has not been confirmed.",
address="Springer Verlag",
booktitle="Genetic Programming, 10th European Conference, EuroGP 2007",
chapter="34270",
edition="Lecture Notes in Computer Science, 4445",
howpublished="print",
institution="Springer Verlag",
journal="Lecture Notes in Computer Science (IF 0,513)",
year="2007",
month="april",
pages="311--320",
publisher="Springer Verlag",
type="conference paper"
}