Bose, Damien;
Hanna, carol;
Petke, Justyna;
(2025)
Enhancing Software Runtime with Reinforcement
Learning-Driven Mutation Operator Selection in
Genetic Improvement.
In:
(Proceedings) GI 2025: The 14th International Workshop on Genetic Improvement (Co-located with the 47th IEEE/ACM International Conference on Software Engineering, ICSE 2025).
ICSE
(In press).
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GI_Workshop__RL_for_Mutation_Operator_Selection_Runtime_Optimisation.pdf - Accepted Version Access restricted to UCL open access staff until 14 August 2025. Download (1MB) |
| Type: | Proceedings paper |
|---|---|
| Title: | Enhancing Software Runtime with Reinforcement Learning-Driven Mutation Operator Selection in Genetic Improvement |
| Event: | GI 2025: The 14th International Workshop on Genetic Improvement (Co-located with the 47th IEEE/ACM International Conference on Software Engineering, ICSE 2025) |
| Publisher version: | https://geneticimprovementofsoftware.com/events/ic... |
| 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 > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10204649 |
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