Size, shape, and topology optimization of planar and space trusses using mutation-based improved metaheuristics. Issue 2 (12th October 2017)

• Record Type: Journal Article
• Authors: Tejani, Ghanshyam G.; Savsani, Vimal J.; Patel, Vivek K.; Savsani, Poonam V.
• Is Part Of: Journal of computational design and engineering. Volume 5:Issue 2(2018)
• Page Start: 198
• Page End: 214
• Publication Date: 2017-10-12
• Subjects: Structural optimization -- Mutation operator -- Improved metaheuristics -- Modified algorithms -- Truss topology optimization; Engineering -- Data processing -- Periodicals; Computer-aided design -- Periodicals; Computer-aided design; Engineering -- Data processing; Electronic journals; Electronic journals; Periodicals; 620.0042
• DOI: 10.1016/j.jcde.2017.10.001
• Languages: English
• ISSNs: 2288-4300

Abstract

Graphical abstract: Abstract: In this study, simultaneous size, shape, and topology optimization of planar and space trusses are investigated. Moreover, the trusses are subjected to constraints for element stresses, nodal displacements, and kinematic stability conditions. Truss Topology Optimization (TTO) removes the superfluous elements and nodes from the ground structure. In this method, the difficulties arise due to unacceptable and singular topologies; therefore, the Grubler's criterion and the positive definiteness are used to handle such issue. Moreover, the TTO is challenging due to its search space, which is implicit, non-convex, non-linear, and often leading to divergence. Therefore, mutation-based metaheuristics are proposed to investigate them. This study compares the performance of four improved metaheuristics (viz. Improved Teaching–Learning-Based Optimization (ITLBO), Improved Heat Transfer Search (IHTS), Improved Water Wave Optimization (IWWO), and Improved Passing Vehicle Search (IPVS)) and four basic metaheuristics (viz. TLBO, HTS, WWO, and PVS) in order to solve structural optimization problems.