A user-centered approach to evolutionary algorithms and their use in industry
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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Taylor & Francis Group
2021
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oai:doaj.org-article:310f70dcf8f3447f927a64876bddd48e2021-11-26T11:19:50ZA user-centered approach to evolutionary algorithms and their use in industry2331-191610.1080/23311916.2021.1995110https://doaj.org/article/310f70dcf8f3447f927a64876bddd48e2021-01-01T00:00:00Zhttp://dx.doi.org/10.1080/23311916.2021.1995110https://doaj.org/toc/2331-1916The 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 methods survey. 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.Jakub VincalekSean WaltonBen EvansTaylor & Francis Grouparticlereflexive thematic analysishuman in the loopoptimisation algorithmsdesign optimisationEngineering (General). Civil engineering (General)TA1-2040ENCogent Engineering, Vol 8, Iss 1 (2021) |
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reflexive thematic analysis human in the loop optimisation algorithms design optimisation Engineering (General). Civil engineering (General) TA1-2040 |
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reflexive thematic analysis human in the loop optimisation algorithms design optimisation Engineering (General). Civil engineering (General) TA1-2040 Jakub Vincalek Sean Walton Ben Evans A user-centered approach to evolutionary algorithms and their use in industry |
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 methods survey. 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. |
format |
article |
author |
Jakub Vincalek Sean Walton Ben Evans |
author_facet |
Jakub Vincalek Sean Walton Ben Evans |
author_sort |
Jakub Vincalek |
title |
A user-centered approach to evolutionary algorithms and their use in industry |
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 |
user-centered approach to evolutionary algorithms and their use in industry |
publisher |
Taylor & Francis Group |
publishDate |
2021 |
url |
https://doaj.org/article/310f70dcf8f3447f927a64876bddd48e |
work_keys_str_mv |
AT jakubvincalek ausercenteredapproachtoevolutionaryalgorithmsandtheiruseinindustry AT seanwalton ausercenteredapproachtoevolutionaryalgorithmsandtheiruseinindustry AT benevans ausercenteredapproachtoevolutionaryalgorithmsandtheiruseinindustry AT jakubvincalek usercenteredapproachtoevolutionaryalgorithmsandtheiruseinindustry AT seanwalton usercenteredapproachtoevolutionaryalgorithmsandtheiruseinindustry AT benevans usercenteredapproachtoevolutionaryalgorithmsandtheiruseinindustry |
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1718409457916968960 |