Bridge truss optimization under moving load using continuous and discrete design variables in optimization methods

The aim of this work is to minimize the weight of steel bridge trusses under the limitations imposed on its behaviour by the design codes when it is subjected to moving load (HS20-truck). Adaptive manner operators are included to enhance the capability of GA. Design examples are solved to illustrate the applicability of proposed algorithm. Results are compared with those evaluated by various optimization methods with continuous design variables such as sequential convex programming (SCP), sequential quadratic programming (SQP) and evolution strategy (EVOL). It can be concluded that the results obtained by GA is meaningful, more suitable for practice and GA performs well to find minimum weight of the bridge trusses under moving load.