Charged system search and particle swarm optimization hybridized for optimal design of engineering structures

In this paper, a new hybrid charged system search and particle swarmoptimization, hcsspso, is presented. although particle swarm optimization (pso) hasmany advantages, including directional search, it has also some disadvantages resultingin slow convergence rate and low performance. on the other hand, the charged systemsearch (css) is a robust optimization algorithm which has been successfully utilized inmany structural optimization problems. in this study, the goal is to incorporate the positivefeatures of the pso in css and make it more capable of solving optimization problems.the hybrid css and pso is named hcsspro, and it uses the positive features of the psoto further improve the css. in order to show the higher performance of the hcsspso, it isimplemented and applied to some engineering problems. these structures are benchmarkexamples which are optimized by many other methods and are suitable for comparison.results of the present algorithm show its better performance and higher convergence ratefor the problem studied.