HYBRID CHARGED SYSTEM SEARCH - PARTICLE SWARM OPTIMIZATION FOR DESIGN OF SINGLE-LAYER BARREL VAULT STRUCTURES

The barrel vaults are composed of member elements arranged on a cylindrical surface. This kind of structure is utilized to cover the long spans. In this paper, the hybrid charge system search and particle swarm optimization algorithm is improved and utilized to optimal design of single-layer barrel vault frames. Some modifications on parameter values are performed to enhance the performance of the hybrid algorithm. Comparison of the results with other meta-heuristic algorithms illustrates the efficiency of the hybrid CSS and PSO algorithm. Also some discussion on the loading conditions and group selecting are presented.