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.

• Type: Conference
• Year: 2007
• Where: EUROGP
• Authors: Karel Slaný, Lukás Sekanina
• Keywords: Crossover Operator, EUROGP 2007, Single-point Crossover Operator, fitness Landscapes