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Empirical Comparison of Runtime Improvement Approaches: Genetic Improvement, Parameter Tuning, and Their Combination

Songpetchmongkol, Thanatad; Blot, Aymeric; Petke, Justyna; (2025) Empirical Comparison of Runtime Improvement Approaches: Genetic Improvement, Parameter Tuning, and Their Combination. 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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Type: Proceedings paper
Title: Empirical Comparison of Runtime Improvement Approaches: Genetic Improvement, Parameter Tuning, and Their Combination
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/10204648
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