Code growth, explicitly defined introns, and alternative selection schemes
Evolutionary Computation
The root causes of code growth in genetic programming
EuroGP'03 Proceedings of the 6th European conference on Genetic programming
Growth of self-canceling code in evolutionary systems
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Memory with memory in genetic programming
Journal of Artificial Evolution and Applications
A survey and taxonomy of performance improvement of canonical genetic programming
Knowledge and Information Systems
Scale- and rotation-robust genetic programming-based corner detectors
EvoApplicatons'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part I
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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.