%0 Generic
%A Blot, A
%A Petke, J
%C New York, NY, USA
%D 2019
%F discovery:10074375
%I Association for Computing Machinery (ACM)
%K Genetic Improvement, Search-Based Software Engineering, Software Specialisation, Algorithm Selection, Algorithm Configuration
%P 1703-1704
%T On Adaptive Specialisation in Genetic Improvement
%U https://discovery.ucl.ac.uk/id/eprint/10074375/
%V 2019
%X Genetic improvement uses automated search to find improved versions of existing software. Software can either be evolved with  general-purpose intentions or with a focus on a specific application  (e.g., to improve it’s efficiency for a particular class of problems).  Unfortunately, software specialisation to each problem application  is generally performed independently, fragmenting and slowing  down an already very time-consuming search process. We propose  to incorporate specialisation as an online mechanism of the general  search process, in an attempt to automatically devise application  classes, by benefiting from past execution history.
%Z This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.