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A user-centered approach to evolutionary algorithms and their use in industry

Jakub Vincalek, Sean Walton Orcid Logo, Ben Evans Orcid Logo

Cogent Engineering, Volume: 8, Issue: 1

Swansea University Authors: Jakub Vincalek, Sean Walton Orcid Logo, Ben Evans Orcid Logo

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DOI (Published version): 10.1080/23311916.2021.1995110

Abstract

The key contribution of this article to the domain of engineering optimisation is establishing best practices with respect to the development of evolutionary algorithms in the context of design engineering. Despite their various uses, the uptake of evolutionary algorithms in industry remains limited...

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Published in: Cogent Engineering
ISSN: 2331-1916
Published: Informa UK Limited 2021
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URI: https://cronfa.swan.ac.uk/Record/cronfa58027
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first_indexed 2021-09-23T10:02:15Z
last_indexed 2023-01-11T14:38:20Z
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spelling 2022-10-31T13:42:43.7080568 v2 58027 2021-09-23 A user-centered approach to evolutionary algorithms and their use in industry b62486f17abbb685a2012b729dc70376 Jakub Vincalek Jakub Vincalek true false 0ec10d5e3ed3720a2d578417a894cf49 0000-0002-6451-265X Sean Walton Sean Walton true false 3d273fecc8121fe6b53b8fe5281b9c97 0000-0003-3662-9583 Ben Evans Ben Evans true false 2021-09-23 FGSEN The key contribution of this article to the domain of engineering optimisation is establishing best practices with respect to the development of evolutionary algorithms in the context of design engineering. Despite their various uses, the uptake of evolutionary algorithms in industry remains limited. In order to understand why uptake is low a survey of engineers was undertaken, the results of which are presented here. A total of 23 participants (N = 23) took part in the 3-section mixed methodssurvey. Reflexive thematic analysis was conducted on the open-ended questions. A common thread throughout participants responses is that there is a question of trust towards evolutionary algorithms within industry. Perhaps surprising is that the key to gaining this trust is not producing good results, but creating algorithms which explain the process they take in reaching a result. Based on this, recommendations have been made to increase their use in industry. Journal Article Cogent Engineering 8 1 Informa UK Limited 2331-1916 reflexive thematic analysis; human in the loop; optimisation algorithms; design optimisation 16 11 2021 2021-11-16 10.1080/23311916.2021.1995110 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University External research funder(s) paid the OA fee (includes OA grants disbursed by the Library) EPSRC CDT in Enhancing Human Interactions and Collaborations with Data and Intelligence Driven Systems EP/S021892/1 2022-10-31T13:42:43.7080568 2021-09-23T10:58:09.1606658 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Jakub Vincalek 1 Sean Walton 0000-0002-6451-265X 2 Ben Evans 0000-0003-3662-9583 3 58027__21625__526348d488af445aa42d863965b438a2.pdf 58027.pdf 2021-11-22T12:08:18.8131304 Output 1048827 application/pdf Version of Record true © 2021 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license true eng https://creativecommons.org/licenses/by/4.0/
title A user-centered approach to evolutionary algorithms and their use in industry
spellingShingle A user-centered approach to evolutionary algorithms and their use in industry
Jakub Vincalek
Sean Walton
Ben Evans
title_short A user-centered approach to evolutionary algorithms and their use in industry
title_full A user-centered approach to evolutionary algorithms and their use in industry
title_fullStr A user-centered approach to evolutionary algorithms and their use in industry
title_full_unstemmed A user-centered approach to evolutionary algorithms and their use in industry
title_sort A user-centered approach to evolutionary algorithms and their use in industry
author_id_str_mv b62486f17abbb685a2012b729dc70376
0ec10d5e3ed3720a2d578417a894cf49
3d273fecc8121fe6b53b8fe5281b9c97
author_id_fullname_str_mv b62486f17abbb685a2012b729dc70376_***_Jakub Vincalek
0ec10d5e3ed3720a2d578417a894cf49_***_Sean Walton
3d273fecc8121fe6b53b8fe5281b9c97_***_Ben Evans
author Jakub Vincalek
Sean Walton
Ben Evans
author2 Jakub Vincalek
Sean Walton
Ben Evans
format Journal article
container_title Cogent Engineering
container_volume 8
container_issue 1
publishDate 2021
institution Swansea University
issn 2331-1916
doi_str_mv 10.1080/23311916.2021.1995110
publisher Informa UK Limited
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 1
active_str 0
description The key contribution of this article to the domain of engineering optimisation is establishing best practices with respect to the development of evolutionary algorithms in the context of design engineering. Despite their various uses, the uptake of evolutionary algorithms in industry remains limited. In order to understand why uptake is low a survey of engineers was undertaken, the results of which are presented here. A total of 23 participants (N = 23) took part in the 3-section mixed methodssurvey. Reflexive thematic analysis was conducted on the open-ended questions. A common thread throughout participants responses is that there is a question of trust towards evolutionary algorithms within industry. Perhaps surprising is that the key to gaining this trust is not producing good results, but creating algorithms which explain the process they take in reaching a result. Based on this, recommendations have been made to increase their use in industry.
published_date 2021-11-16T04:14:13Z
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score 11.013148

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