ACOトポロジー最適化におけるアントミルの改善

抄録

To design a structure, it is important to achieve both strength and stiffness. To achieve both, we use Ant Colony Optimization (ACO) a swarm intelligence algorithm inspired by the foraging behavior of ants in nature as topology optimization. Furthermore, we add principal stress constraints to the optimization to consider the flow of forces which is generally checked in mechanical design. The objective of this study is to eliminate the loop phenomenon called ant mill that occurs which is observed in topology optimization using ACO.