TY  - GEN
EP  - 1704
Y1  - 2019/07//
AV  - public
SP  - 1703
TI  - On Adaptive Specialisation in Genetic Improvement
N1  - This version is the author accepted manuscript. For information on re-use, please refer to the publisher?s terms and conditions.
UR  - https://doi.org/10.1145/3319619.3326839
PB  - Association for Computing Machinery (ACM)
ID  - discovery10074375
N2  - 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.
KW  - Genetic Improvement
KW  -  Search-Based Software Engineering
KW  -  Software Specialisation
KW  -  Algorithm Selection
KW  -  Algorithm Configuration
T3  - Genetic and Evolutionary Computation Conference (GECCO)
A1  - Blot, A
A1  - Petke, J
CY  - New York, NY, USA
ER  -