Sharif University of Technology Scientia Iranica 1026-3098 16 5 2009 10 01 Optimal Design of Geometrically Nonlinear Space Trusses Using an Adaptive Neuro-Fuzzy Inference System 3122 EN E. Salajegheh Department of Civil Engineering,Shahid Bahonar University of Kerman J. Salajegheh Department of Civil Engineering,Shahid Bahonar University of Kerman S.M. Seyedpoor Department of Civil Engineering,Shahid Bahonar University of Kerman M. Khatibinia Department of Civil Engineering,Shahid Bahonar University of Kerman Journal Article 2009 11 01 Abstract. An ecient methodology is proposed to optimize space trusses considering geometric nonlinearity. The optimization task is performed by a continuous Particle Swarm Optimization (PSO). Design variables are cross sectional areas of the trusses and their weights are also taken as the objective function. Design constraints are dened to restrict nodal displacements and element stresses and prevent the overall elastic instability of the structures during the optimization procedure. In order to reduce the computational eort of the optimization process, an Adaptive Neuro Fuzzy Inference System (ANFIS) is employed to approximate the nonlinear analysis of the structures instead of performing via a time consuming Finite Element Analysis (FEA). The presented ANFIS is compared with a Back Propagation Neural Network (BPNN) and appears to produce a better performance generality for evaluating structure design values. Test example results demonstrate the computational advantages of the suggested methodology for optimum design of geometrically nonlinear space trusses. https://scientiairanica.sharif.edu/article_3122_5f4237f23472d22ac8911b8f060429e0.pdf