Size/Layout Optimization of Truss Structures Using Shuffled Shepherd Optimization Method

  • Ali Kaveh
    Affiliation

    School of Civil Engineering, Iran University of Science and Technology, Narmak, Tehran, Postal Code 16846-13114, Iran

  • Ataollah Zaerreza
    Affiliation

    School of Civil Engineering, Iran University of Science and Technology, Narmak, Tehran, Postal Code 16846-13114, Iran

Abstract

The main purpose of this paper is to investigate the ability of the recently developed multi-community meta-heuristic optimization algorithm, shuffled shepherd optimization algorithm (SSOA), in layout optimization of truss structures. The SSOA is inspired by mimicking the behavior of shepherd in nature. In this algorithm, agents are first divided into communities which are called herd and then optimization process, inspired by the shepherd’s behavior in nature, is operated on each community. The new position of agents is obtained using elitism technique. Then communities are merged for sharing the information. The results of SSOA in layout optimization show that SSOA is competitive with other considered meta-heuristic algorithms.

Keywords: meta-heuristic algorithms, shuffled shepherd optimization algorithm, size/layout optimization, truss structures
Published online
2020-03-19
How to Cite
Kaveh, A., Zaerreza, A. “Size/Layout Optimization of Truss Structures Using Shuffled Shepherd Optimization Method”, Periodica Polytechnica Civil Engineering, 64(2), pp. 408-421, 2020. https://doi.org/10.3311/PPci.15726
Section
Research Article