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Genetic improvement events in 2018
Genetic improvement uses optimisation and machine learning techniques, particularly heuristic search and evolutionary algorithms, to improve existing software. The main application is automatic bug fixing, where reducing or eliminating buggy behaviour improves a program. Other applications involve a...
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Published in: | SIGEVOlution 2019-01, Vol.11 (4), p.9-13 |
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Format: | Article |
Language: | English |
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container_end_page | 13 |
container_issue | 4 |
container_start_page | 9 |
container_title | SIGEVOlution |
container_volume | 11 |
creator | Danglot, Benjamin An, Gabin |
description | Genetic improvement uses optimisation and machine learning techniques, particularly heuristic search and evolutionary algorithms, to improve existing software. The main application is automatic bug fixing, where reducing or eliminating buggy behaviour improves a program. Other applications involve automatically producing a better program that runs faster, uses less memory, uses less energy, or runs on a different type of computer.
This article summarise two international events exclusively devoted to this topic in 2018. |
doi_str_mv | 10.1145/3302542.3302544 |
format | article |
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identifier | ISSN: 1931-8499 |
ispartof | SIGEVOlution, 2019-01, Vol.11 (4), p.9-13 |
issn | 1931-8499 1931-8499 |
language | eng |
recordid | cdi_crossref_primary_10_1145_3302542_3302544 |
source | Association for Computing Machinery:Jisc Collections:ACM OPEN Journals 2023-2025 (reading list) |
title | Genetic improvement events in 2018 |
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