Comparing Evolutionary Operators, Search Spaces, and Evolutionary Algorithms in the Construction of Facial Composites

Facial composite construction is one of the most successful applications of interactive evolutionary computation.

algorithm design options in detail. We address this issue with four experiments. In the first experiment a

experiment the performances of two mutation and two recombination operators for interactive genetic

search space, a mathematically reduced 12-dimensional search space, and a 12-dimensional search space

genetic algorithm to interactive differential evolution. Our results show that the facial composite construction

space, and the choice of interactive evolutionary algorithm. We attribute this to the imprecise nature of human

ra?cunanja. Kljub temu pa do zdaj na podro?cju kompozitne gradnje niso bile podrobno raziskane

sortiranje za identifikacijo 12 najbolj izstopajo?cih dimenzij 30-dimenzionalnega preiskovalnega prostora.

genetski algoritem. V tretjem primerjamo tri preiskovalne prostore: 30-dimenzionalni, matemati?cno reducirani

koncu smo primerjali uspešnost interaktivnega genetskega algoritma z interaktivno diferencialno evolucijo.

operatorja(-ev), dimenzionalnost preiskovalnega prostora in izbiro interaktivnega evolucijskega algoritma.

To pripisujemo nenatan?cni naravi percepcije in razlikam med interakcijami uporabnikov z algoritmom.