Bio Inspired Algorithms in Single and Multiobjective Reliability Optimization

Henrik Madsen, Grigore Albeanu, Bernard Burtschy, Florin Popentiu-Vladicescu

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Non-traditional search and optimization methods based on natural phenomena have been proposed recently in order to avoid local or unstable behavior when run towards an optimum state. This paper describes the principles of bio inspired algorithms and reports on Migration Algorithms and Bees Algorithms as good candidates to solve multiobjective optimization problems. A general framework for reliability optimization is formulated and applied to investigate classical and intuitionistic-fuzzy reliability optimization problems. The meta-algorithm proved good performance for large size problems with a reasonable time for tuning of initial parameters.
Original languageEnglish
Title of host publicationProceedings of the 20th ISSAT International Conference on Reliability and Quality in Design (RQD 2014)
Publication date2014
Pages1-5
Article number2001
Publication statusPublished - 2014
Event20th ISSAT International Conference on Reliability and Quality in Design - Seattle, United States
Duration: 7 Aug 20149 Aug 2014
Conference number: 20

Conference

Conference20th ISSAT International Conference on Reliability and Quality in Design
Number20
Country/TerritoryUnited States
CitySeattle
Period07/08/201409/08/2014

Keywords

  • Single/multi-objective optimization
  • Evolution strategies
  • Social behavior

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