Topology, Size and Shape Optimization of Trusses Under Dynamic Behavior Using Evolutionary Symbiotic Organisms Search
摘要
This work presents an evolutionary symbiotic organisms search to simultaneously topology, size and shape of trusses. The truss weight is minimized so that all constraints on kinematic stability, static and dynamic behavior are satisfied completely. For this, the nodal coordinates are continuously taken as shape variables, whilst the members’ cross-sectional area is taken account of discrete/continuous size ones. A discrete topology pseudo-area variable is utilized to model the absence or attendance of a truss member. Two truss examples are illustrated to confirm the reliability and robustness of the proposed algorithm. All investigated problems are programmed by Python.