On Adaptive Specialisation in Genetic Improvement
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Blot:2019:GI7,
-
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)",
- }
Genetic Programming entries for
Aymeric Blot
Justyna Petke
Citations