- author = "Aymeric Blot and Justyna Petke",
- title = "On Adaptive Specialisation in Genetic Improvement",
- booktitle = "7th edition of GI @ GECCO 2019",
- year = "2019",
- month = jul # " 13-17",
- editor = "Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and John R. Woodward",
- publisher_address = "New York, NY, USA",
- publisher = "ACM",
- address = "Prague, Czech Republic",
- pages = "1703--1704",
- organisation = "SIGEVO",
- keywords = "genetic algorithms, genetic programming, genetic improvement, SBSE, Search-Based Software Engineering, Software Specialisation, Algorithm Selection, Algorithm Configuration",
- isbn13 = "978-1-4503-6748-6",
-
URL = "
http://www.cs.ucl.ac.uk/staff/a.blot/files/blot_gi-gecco_2019.pdf",
-
DOI = "
doi:10.1145/3319619.3326839",
- size = "2 pages",
- 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 its 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.",
-
notes = "MiniSAT
Also known as \cite{Blot:2019:GECCOcomp}
Also known as \cite{3326839} GECCO-2019 A Recombination of the 28th International Conference on Genetic Algorithms (ICGA) and the 24th Annual Genetic Programming Conference (GP)",
