Optimal Design of Planar Steel Frames Using the Hybrid Teaching–Learning and Charged System Search Algorithm

In this study, a novel effective algorithm called HTC which results from hybridization process between the teaching–learning-based optimization (TLBO) and charged system search (CSS) algorithms is proposed utilized to optimize planar steel frames. Among features of algorithm, simplicity low number setting parameters can be mentioned. The main goals are establish balance exploration exploitation, increase rate convergence, avoid getting trapped in local optimal point. Moreover, purpose optimizing frames calculate their minimum weight by choosing suitable sections as well considering stress displacement constraints accordance with requirements AISC design regulations using load resistance factor (LRFD) method. To evaluate performance standard benchmark examined, compared other metaheuristic methods. According outcomes comparison, has better than