eprintid: 10026642 rev_number: 24 eprint_status: archive userid: 608 dir: disk0/10/02/66/42 datestamp: 2017-10-29 03:25:51 lastmod: 2021-10-11 22:45:37 status_changed: 2017-11-03 16:45:16 type: proceedings_section metadata_visibility: show creators_name: Petke, J title: New operators for non-functional genetic improvement ispublished: pub divisions: UCL divisions: B04 divisions: C05 divisions: F48 note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. abstract: Genetic improvement uses automated search to find improved versions of existing software. Typically software is modified using either delete, copy or replace operations at the level of source code, its abstract syntax tree, binary or assembly representaion. Impressive improvements have been achieved through this approach, yet research in the use of other search operators is largely unexplored. We propose several ways for devising new search operators for improvement of non-functional properties using a genetic improvement apporach. date: 2017-07-15 date_type: published publisher: ACM official_url: http://dx.doi.org/10.1145/3067695.3082520 oa_status: green language: eng primo: open primo_central: open_green verified: verified_manual elements_id: 1414399 doi: 10.1145/3067695.3082520 isbn_13: 9781450349390 lyricists_name: Petke, Justyna lyricists_id: JPETK66 full_text_status: public publication: GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion volume: 2017 place_of_pub: New York, NY, USA pagerange: 1541-1542 event_title: GECCO '17 (Genetic and Evolutionary Computation Conference) book_title: Proceeding GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference Companion citation: Petke, J; (2017) New operators for non-functional genetic improvement. In: Proceeding GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference Companion. (pp. pp. 1541-1542). ACM: New York, NY, USA. Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/10026642/1/Petke_gi2017_1.pdf