Enhanced firefly algorithm for optimal design of a disk type magneto-rheologic fluid clutch

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandForschungBegutachtung

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.

Originalspracheenglisch
TitelIEEE CEFC 2016 - 17th Biennial Conference on Electromagnetic Field Computation
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers
ISBN (elektronisch)9781509010325
DOIs
PublikationsstatusVeröffentlicht - 12 Jan 2017
Veranstaltung17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016 - Miami, USA / Vereinigte Staaten
Dauer: 13 Nov 201616 Nov 2016

Konferenz

Konferenz17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016
LandUSA / Vereinigte Staaten
OrtMiami
Zeitraum13/11/1616/11/16

Schlagwörter

    ASJC Scopus subject areas

    • !!Computational Mathematics
    • !!Instrumentation
    • !!Electrical and Electronic Engineering

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  • Dieses zitieren

    Hackl, A., Alb, M., Magele, C., & Renhart, W. (2017). Enhanced firefly algorithm for optimal design of a disk type magneto-rheologic fluid clutch. in IEEE CEFC 2016 - 17th Biennial Conference on Electromagnetic Field Computation [7815993] Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CEFC.2016.7815993