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http://hdl.handle.net/1893/31579| Appears in Collections: | Computing Science and Mathematics Conference Papers and Proceedings |
| Author(s): | Petke, Justyna Alexander, Brad Barr, Earl T Brownlee, Alexander E I Wagner, Markus White, David R |
| Title: | A Survey of Genetic Improvement Search Spaces |
| Editor(s): | López-Ibáñez, Manuel |
| Citation: | Petke J, Alexander B, Barr ET, Brownlee AEI, Wagner M & White DR (2019) A Survey of Genetic Improvement Search Spaces. In: López-Ibáñez M (ed.) GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO '19 - Genetic and Evolutionary Computation Conference, Prague, Czech Republic, 13.07.2019-17.07.2019. New York: Association for Computing Machinery, pp. 1715-1721. https://doi.org/10.1145/3319619.3326870 |
| Issue Date: | 2019 |
| Date Deposited: | 19-Aug-2020 |
| Conference Name: | GECCO '19 - Genetic and Evolutionary Computation Conference |
| Conference Dates: | 2019-07-13 - 2019-07-17 |
| Conference Location: | Prague, Czech Republic |
| Abstract: | Genetic Improvement (GI) uses automated search to improve existing software. Most GI work has focused on empirical studies that successfully apply GI to improve software's running time, fix bugs, add new features, etc. There has been little research into why GI has been so successful. For example, genetic programming has been the most commonly applied search algorithm in GI. Is genetic programming the best choice for GI? Initial attempts to answer this question have explored GI's mutation search space. This paper summarises the work published on this question to date. |
| Status: | VoR - Version of Record |
| Rights: | Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org. GECCO ’19 Companion, July 13–17, 2019, Prague, Czech Republic © 2019 Copyright held by the owner/author(s). Publication rights licensed to the Association for Computing Machinery. |
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