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On Adaptive Specialisation in Genetic Improvement

Blot, A; Petke, J; (2019) On Adaptive Specialisation in Genetic Improvement. In: Proceedings of the 2019 Genetic and Evolutionary Computation Conference (GECCO). (pp. pp. 1703-1704). Association for Computing Machinery (ACM): New York, NY, USA. Green open access

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Abstract

Genetic improvement uses automated search to find improved versions of existing software. Software can either be evolved with general-purpose intentions or with a focus on a specific application (e.g., to improve it’s efficiency for a particular class of problems). Unfortunately, software specialisation to each problem application is generally performed independently, fragmenting and slowing down an already very time-consuming search process. We propose to incorporate specialisation as an online mechanism of the general search process, in an attempt to automatically devise application classes, by benefiting from past execution history.

Type: Proceedings paper
Title: On Adaptive Specialisation in Genetic Improvement
Event: 2019 Genetic and Evolutionary Computation Conference (GECCO)
Location: Prague, Czech Republic
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3319619.3326839
Publisher version: https://doi.org/10.1145/3319619.3326839
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, Search-Based Software Engineering, Software Specialisation, Algorithm Selection, Algorithm Configuration
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/10074375
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