Abstract
Stress-based crossover (SX) is a genetic operator for structural topology optimization using the information of stress. This paper discusses three types of SX parameter. First, generation alternation models are used to improve the search ability of genetic algorithms. Second, several different meshes are used to study the mesh dependency of SX. A comparison of evolutionary structural optimization (ESO) and SX is performed on the MBB beam problem. Third, element stress ranking method is adopted to study the impact of element stress on final topology. In addition, different domain division strategy for GA and FEM is introduced to further discuss the element stress in uence in SX.
