Function choice, resiliency and growth in genetic programming
Sireesha Besetti, Terence Soule · 2005
In this paper we examine how the choice of functions in a genetic program (GP) affects the rate of code growth and the development of resilient individuals. We find that functions or combination of functions that produce the most resilient individuals often, but not always, produce the most growth. Finally, the results confirm that there is a high correlation between the resiliency of parent individuals and the fitness of their offspring.