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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| Published in: | Cogent engineering Vol. 8; no. 1 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Abingdon
Cogent
01.01.2021
Taylor & Francis Ltd Taylor & Francis Group |
| Subjects: | |
| ISSN: | 2331-1916, 2331-1916 |
| Online Access: | Get full text |
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| Summary: | 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. |
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISSN: | 2331-1916 2331-1916 |
| DOI: | 10.1080/23311916.2021.1995110 |