Genetic improvement (GI) uses automated search to find improved versions of existing
software. We present a comprehensive survey of this nascent field of research with a focus …

Machine learning accounts for considerable global electricity demand and resulting
environmental impact, as training a large deep-learning model produces 284000kgs of the …

We survey genetic improvement (GI) of general purpose computing on graphics cards. We
summarise several experiments which demonstrate four themes. Experiments with the gzip …

In the last decade, the research community has been actively working to develop the
techniques that can automatically find a solution to a software fault, namely, automatic …

Reducing the energy consumption of software systems through optimisation techniques
such as genetic improvement is gaining interest. However, efficient and effective …

Often GP evolves side effect free trees. These pure functional expressions can be evaluated
in any order. In particular they can be interpreted from the genetic modification point …

High order mutation analysis of a software engineering benchmark, including schema and
local optima networks, suggests program improvements may not be as hard to find as is …

Genetic programming (GP) can increase computer program's functional and non-functional
performance. It can automatically port or refactor legacy code written by domain experts …

Reducing computational energy consumption is of growing importance, particularly at the
extremes (ie, mobile devices and datacentres). Despite the ubiquity of the Java virtual …

Genetic improvement has been used to improve functional and non-functional properties of
software. In this paper, we propose a new approach that applies a genetic programming …