Sciweavers

Share
EUROGP
2007
Springer

Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP

8 years 10 months ago
Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP
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.
Karel Slaný, Lukás Sekanina
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where EUROGP
Authors Karel Slaný, Lukás Sekanina
Comments (0)
books