Bio Inspired Algorithms in Single and Multiobjective Reliability Optimization  
Author Henrik Madsen


Co-Author(s) Grigore Albeanu; Bernard Burtschy; Florin Popentiu –Vladicescu


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.


Keywords single/multi-objective optimization, evolution strategies, social behavior
    Article #:  2001
Proceedings of the 20th ISSAT International Conference on Reliability and Quality in Design
August 7-9, 2014 - Seattle, Washington, U.S.A.