The field of parallel metaheuristics is continuously evolving as a result of new technologies
and needs that researchers have been encountering. In the last decade, new models of …

We show that the genetic improvement of programs (GIP) can scale by evolving increased
performance in a widely-used and highly complex 50000 line system. Genetic improvement …

We introduce a mutation-based approach to automatically discover and exposedeep'(
previously unavailable) parameters that affect a program's runtime costs. These discovered …

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

As other chapters in the book show, genetic programming (Koza 1992; Banzhaf et al. 1998;
Poli et al. 2008) has been very widely applied. 1 For example in modelling (Kordon 2010) …

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 …

Genetic programming can optimise software, including: evolving test benchmarks,
generating hyper-heuristics by searching meta-heuristics, generating communication …

Exploring the design space of computer architectures generally consists of a trial-and-error
procedure where several architectural configurations are evaluated by using simulation …

Modern consumer devices must execute multimedia applications that exhibit high resource
utilization. In order to efficiently execute these applications, the dynamic memory subsystem …

There has been much recent interest in genetic improvement of programs. However, genetic
improvement has yet to scale beyond toy laboratory programs. We seek to overcome this …