%0 Journal Article %T A novel Pareto-based multi-objective vibration damping optimization ‎algorithm to solve multi-objective optimization problems %J Scientia Iranica %I Sharif University of Technology %Z 1026-3098 %A Hajipour ‎, Vahid %A Mehdizadeh ‎, Esmaeil %A Tavakkoli-Moghaddam ‎, Reza %D 2014 %\ 12/01/2014 %V 21 %N 6 %P 2368-2378 %! A novel Pareto-based multi-objective vibration damping optimization ‎algorithm to solve multi-objective optimization problems %K multi-objective optimization %K Vibration damping optimization %K Pareto optimal solution %K NSGA-II %K MOSA %R %X This paper presents a vibration damping optimization (VDO) algorithm to solve multi-objective optimization problems for the first time. To do that, fast non-dominated sorting and crowding distance concepts were used in order to find and manage the Pareto-optimal solution. The proposed VDO is validated using several examples taken from the literature. The results were compared with the multi-objective simulated annealing (MOSA) and non-dominated sorting genetic algorithms (NSGA-II) presented as the state-of-the-art in evolutionary multi-objective optimization algorithms. The results indicate that multi-objective VDO (MOVDO) shows better performances with significant difference in terms of computational timewhile NSGA-IIis better to find Pareto solutions. In other standard metrics, MOVDO is able to generate true and well-distributed Pareto optimal solutions and compete with NSGA-II and MOSA. %U https://scientiairanica.sharif.edu/article_3628_60c5905e4472ac50694087b76a5136ca.pdf