Multi Objective Particle Swarm Optimization (MOPSO) for Size and Shape Optimization of 2D Truss Structures

Authors

  • Seyed Saeed Hosseini
    Affiliation

    azad university of semnan

  • Sajad Ahmad Hamidi
    Affiliation

    University of Wisconsin-Milwaukee

  • Motahar Mansuri
    Affiliation

    azad university of semnan

  • Ali Ghoddosian
    Affiliation

    semnan university

https://doi.org/10.3311/PPci.7341

Abstract

This paper covers optimization techniques for trusses to find the most efficient cross sections and configuration of joints. The improvement will be achieved by applying changes in one or both of these parameters. Objective functions for optimization are weight and the deflection of the truss’s joints. For optimization of both weight and deflection the MOPSO method is used. This is a powerful method that enables the optimization of huge trusses. The former methods for optimization of the shape or size of the trusses, was done separately and as a single objective while this paper covers a new way via multi objective methods. For proofing the ability of the represented method in this paper, some standard examples are compared. The comparison of the results shows good accuracy and desirable verity of pareto front.

Keywords:

Truss, Multi objective optimization, Size optimization, MOPSO, Shape optimization

Published Online

2015-02-17

How to Cite

Hosseini, S. S., Hamidi, S. A., Mansuri, M., Ghoddosian, A. “Multi Objective Particle Swarm Optimization (MOPSO) for Size and Shape Optimization of 2D Truss Structures”, Periodica Polytechnica Civil Engineering, 59(1), pp. 9–14, 2015. https://doi.org/10.3311/PPci.7341

Issue

Section

Research Article