%L discovery10074375
%V 2019
%K Genetic Improvement, Search-Based Software Engineering, Software Specialisation, Algorithm Selection, Algorithm Configuration
%C New York, NY, USA
%J Genetic and Evolutionary Computation Conference, Companion Material Proceedings
%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.
%A A Blot
%A J Petke
%O This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
%D 2019
%T On Adaptive Specialisation in Genetic Improvement
%B Proceedings of the 2019 Genetic and Evolutionary Computation Conference (GECCO)
%I Association for Computing Machinery (ACM)
%P 1703-1704
%S Genetic and Evolutionary Computation Conference (GECCO)