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

Andreas Hackl; Michael Alb; Christian Magele; Werner Renhart

doi:10.1109/CEFC.2016.7815993

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

Andreas Hackl, Michael Alb, Christian Magele, Werner Renhart

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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.

Original language	English
Title of host publication	IEEE CEFC 2016 - 17th Biennial Conference on Electromagnetic Field Computation
Publisher	Institute of Electrical and Electronics Engineers
ISBN (Electronic)	9781509010325
DOIs	https://doi.org/10.1109/CEFC.2016.7815993
Publication status	Published - 12 Jan 2017
Event	17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016 - Miami, United States Duration: 13 Nov 2016 → 16 Nov 2016

Conference

Conference	17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016
Country/Territory	United States
City	Miami
Period	13/11/16 → 16/11/16

Keywords

Clustering
Firefly Algorithm
Multimodal Problems
Swarm Optimization

ASJC Scopus subject areas

Computational Mathematics
Instrumentation
Electrical and Electronic Engineering

Access to Document

10.1109/CEFC.2016.7815993

Cite this

Enhanced firefly algorithm for optimal design of a disk type magneto-rheologic fluid clutch. / Hackl, Andreas; Alb, Michael; Magele, Christian et al.
IEEE CEFC 2016 - 17th Biennial Conference on Electromagnetic Field Computation. Institute of Electrical and Electronics Engineers, 2017. 7815993.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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, 17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016, Miami, United States, 13/11/16. https://doi.org/10.1109/CEFC.2016.7815993

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

Abstract

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Keywords

ASJC Scopus subject areas

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