A user-centered approach to evolutionary algorithms and their use in industry. Issue 1 (1st January 2021)

• Record Type: Journal Article
• Authors: Vincalek, Jakub; Walton, Sean; Evans, Ben
• Editors: Chen, Jenhui
• Is Part Of: Cogent engineering. Volume 8:Issue 1(2021)
• Publication Date: 2021-01-01
• Subjects: reflexive thematic analysis -- human in the loop -- optimisation algorithms -- design optimisation; Engineering -- Periodicals; Technology -- Periodicals; Engineering; Technology; Periodicals; 620
• DOI: 10.1080/23311916.2021.1995110
• Languages: English
• ISSNs: 2331-1916

Abstract

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. 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.