Guiding Unconstrained Genetic Improvement
David R. White · 2016
This paper argues that the potential for arbitrary transformation is what differentiates GI from other program transformation work. With great expressive power comes great responsibility, and GI has had mixed success finding effective program repairs and optimisations. The search must be better guided in order to improve solution quality.