Blot, A;
Petke, J;
(2019)
On Adaptive Specialisation in Genetic Improvement.
In:
Proceedings of the 2019 Genetic and Evolutionary Computation Conference (GECCO).
(pp. pp. 1703-1704).
Association for Computing Machinery (ACM): New York, NY, USA.
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Abstract
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.
| Type: | Proceedings paper |
|---|---|
| Title: | On Adaptive Specialisation in Genetic Improvement |
| Event: | 2019 Genetic and Evolutionary Computation Conference (GECCO) |
| Location: | Prague, Czech Republic |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/3319619.3326839 |
| Publisher version: | https://doi.org/10.1145/3319619.3326839 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Genetic Improvement, Search-Based Software Engineering, Software Specialisation, Algorithm Selection, Algorithm Configuration |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10074375 |
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