A novel Pareto-based multi-objective vibration damping optimization ‎algorithm to solve multi-objective optimization problems

Authors

1 Young Researchers and Elite Club, Qazvin Branch, Islamic Azad University, Qazvin, Iran

2 Department of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, ‎Qazvin, Iran‎

3 Department of Industrial Engineering, College of Engineering, University of Tehran, Tehran, ‎Iran

Abstract

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.

Keywords

Scientia Iranica
Volume 21, Issue 6 - Serial Number 6
Transactions on Industrial Engineering (E)
December 2014
Pages 2368-2378

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History

  • Receive Date: 24 November 2013
  • Revise Date: 21 December 2024
  • Accept Date: 27 July 2017

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