Enhanced particle swarm optimization for size and shape optimization of truss structures. Issue 11 (2nd November 2017)

• Record Type: Journal Article
• Authors: Cao, Hongyou; Qian, Xudong; Chen, Zhijun; Zhu, Hongping
• Is Part Of: Engineering optimization. Volume 49:Issue 11(2017)
• Page Start: 1939
• Page End: 1956
• Publication Date: 2017-11-02
• Subjects: Particle swarm optimization -- structural optimization -- truss structure -- computational efficiency; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2016.1273912
• Languages: English
• ISSNs: 0305-215X

Abstract

ABSTRACT: This article presents an enhanced particle swarm optimization (EPSO) algorithm for size and shape optimization of truss structures. The proposed EPSO introduces a particle categorization mechanism into the particle swarm optimization (PSO) to eliminate unnecessary structural analyses during the optimization process and improve the computational efficiency of the PSO-based structural optimization. The numerical investigation, including three benchmark truss optimization problems, examines the efficiency of the EPSO. The results demonstrate that the particle categorization mechanism greatly reduces the computational requirements of the PSO-based approaches while maintaining the original search capability of the algorithms in solving optimization problems with computationally cheap objective function and expensive constraints.