Blot, Aymeric;
Petke, Justyna;
(2022)
Using Genetic Improvement to Optimise Optimisation Algorithm Implementations.
In:
Proceedings of the 23rd annual congress of the French Society for Operational Research and Decision Support ROADEF'2022.
ROADEF: Lyon, France.
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| Type: | Proceedings paper |
|---|---|
| Title: | Using Genetic Improvement to Optimise Optimisation Algorithm Implementations |
| Event: | ROADEF 2022 |
| Location: | Lyon, France |
| Dates: | 23 Feb 2022 - 25 Feb 2022 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://www.roadef.org/article-news-roadef.php?id=... |
| 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, software engineering, algorithm design, optimisation |
| UCL classification: | 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 UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10152667 |
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