Abstract
A well established firefly algorithm is improved in order to detect as many local solutions of a given objective function as possible with a minimum number of function calls. This is done by stressing the disposition of this algorithm to cluster the fireflies around good local solutions. This enhanced Firefly Algorithm will be applied for the optimal design of a disk type magneto-rheologic fluid clutch and compared with an Evolution Strategy with cluster sensitive recombination.
Originalsprache | englisch |
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Titel | IEEE CEFC 2016 - 17th Biennial Conference on Electromagnetic Field Computation |
Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers |
ISBN (elektronisch) | 9781509010325 |
DOIs | |
Publikationsstatus | Veröffentlicht - 12 Jan. 2017 |
Veranstaltung | 17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016 - Miami, USA / Vereinigte Staaten Dauer: 13 Nov. 2016 → 16 Nov. 2016 |
Konferenz
Konferenz | 17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016 |
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Land/Gebiet | USA / Vereinigte Staaten |
Ort | Miami |
Zeitraum | 13/11/16 → 16/11/16 |
ASJC Scopus subject areas
- Computational Mathematics
- Instrumentierung
- Elektrotechnik und Elektronik