Multi-objective optimization of structures using charged system search

Authors

1 Centre of Excellence for Fundamental Studies in Structural Engineering, Iran University of Science and Technology, Narmak, Tehran, P.O. Box 16846-13114, Iran

2 Centre of Excellence for Fundamental Studies in Structural Engineering, Iran University of Science and Technology, Narmak, Tehran, P.O. Box 16846-13114, Iran.

Abstract

Many industrial problems are concerned with optimization of large and complex systems involving many criteria. Indeed, optimization problems encountered in practice are seldom mono-objective. In general, there are many conflicting objectives to handle. This study introduces a new method for the solution of multi-objective optimization problems. Multi-objective optimization is utilized to nd the most suitable solution, which covers the requirements and demands of decision makers. The main goal of the resolution of a multi-objective problem is to obtain a Pareto optimal set and, consequently, the Pareto front. This method is based on the Charged System Search (CSS) algorithm, which is inspired by the Coulomb and Gauss laws of electrostatics in physics. In order to illustrate the eciency of the proposed method, numerical examples are solved and results are compared to show the ability of the CSS in nding optimal solutions.

Keywords

Scientia Iranica
Volume 21, Issue 6 - Serial Number 6
Transactions on Civil Engineering (A)
November and December 2014
Pages 1845-1860

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History

  • Receive Date: 27 December 2014
  • Revise Date: 21 December 2024
  • Accept Date: 09 July 2017

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