Petke, J;
(2017)
New operators for non-functional genetic improvement.
In:
Proceeding GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference Companion.
(pp. pp. 1541-1542).
ACM: New York, NY, USA.
Preview |
Text
Petke_gi2017_1.pdf - Accepted Version Download (357kB) | Preview |
Abstract
Genetic improvement uses automated search to find improved versions of existing software. Typically software is modified using either delete, copy or replace operations at the level of source code, its abstract syntax tree, binary or assembly representaion. Impressive improvements have been achieved through this approach, yet research in the use of other search operators is largely unexplored. We propose several ways for devising new search operators for improvement of non-functional properties using a genetic improvement apporach.
| Type: | Proceedings paper |
|---|---|
| Title: | New operators for non-functional genetic improvement |
| Event: | GECCO '17 (Genetic and Evolutionary Computation Conference) |
| ISBN-13: | 9781450349390 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/3067695.3082520 |
| Publisher version: | http://dx.doi.org/10.1145/3067695.3082520 |
| 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. |
| 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/10026642 |
Archive Staff Only
 |
View Item |
