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"
}