The evolution of evolvability in genetic programming
Advances in genetic programming
How neutral networks influence evolvability
Complexity
Code Factoring And The Evolution Of Evolvability
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Selecting for evolvable representations
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Linear Genetic Programming (Genetic and Evolutionary Computation)
Linear Genetic Programming (Genetic and Evolutionary Computation)
Program evolvability under environmental variations and neutrality
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
Open issues in genetic programming
Genetic Programming and Evolvable Machines
Genetic Programming and Evolvable Machines
Robustness and evolvability of recombination in linear genetic programming
EuroGP'13 Proceedings of the 16th European conference on Genetic Programming
On the evolvability of a hybrid ant colony-cartesian genetic programming methodology
EuroGP'13 Proceedings of the 16th European conference on Genetic Programming
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The notion of evolvability has been put forward to describe the "core mechanism" of natural and artificial evolution. Recently, studies have revealed the influence of the environment upon a system's evolvability. In this contribution, we study the evolvability of a system in various environmental situations. We consider neutrality and variability as two sides of evolvability. The former makes a system tolerant to mutations and provides a hidden staging ground for future phenotypic changes. The latter produces explorative variations yielding phenotypic improvements. Which of the two dominates is influenced by the environment. We adopt two tools for this study of evolvability: 1) the rate of adaptive evolution, which captures the observable adaptive variations driven by evolvability; and 2) the variability of individuals, which measures the potential of an individual to vary functionally. We apply these tools to a Linear Genetic Programming system and observe that evolvability is able to exploit its two sides in different environmental situations.