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Stack-Based Genetic Improvement

Blot, A; Petke, J; (2020) Stack-Based Genetic Improvement. In: ICSEW'20: Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops. (pp. pp. 289-290). ACM Green open access

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Abstract

Genetic improvement (GI) uses automated search to find improved versions of existing software. If originally GI directly evolved populations of software, most GI work nowadays use a solution representation based on a list of mutations. This representation however has some limitations, notably in how genetic material can be re-combined. We introduce a novel stack-based representation and discuss its possible benefits.

Type: Proceedings paper
Title: Stack-Based Genetic Improvement
Event: ICSE '20
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3387940.3392174
Publisher version: https://doi.org/10.1145/3387940.3392174
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/10113441
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