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 proceedingConference contribution

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 languageEnglish
Title of host publicationIEEE CEFC 2016 - 17th Biennial Conference on Electromagnetic Field Computation
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Electronic)9781509010325
DOIs
Publication statusPublished - 12 Jan 2017
Event17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016 - Miami, United States
Duration: 13 Nov 201616 Nov 2016

Conference

Conference17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016
CountryUnited States
CityMiami
Period13/11/1616/11/16

Keywords

  • Clustering
  • Firefly Algorithm
  • Multimodal Problems
  • Swarm Optimization

ASJC Scopus subject areas

  • Computational Mathematics
  • Instrumentation
  • Electrical and Electronic Engineering

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