Abstract: Topology optimization (TO) is a promising field for the design of
industrial devices, since it can allow computational tools to develop creative
solutions independently of initial topologies. However, the generation of
smooth solutions, i.e., solutions that can be physically implemented, remains a
challenge for most TO techniques available. In this paper, we discuss a set of
operators that allow smoother topologies to be generated by an evolutionary
topology optimization algorithm based on the artificial immune systems
paradigm. The design of an electromagnetic device is used as a test case for
the proposed methodology.
Keywords: Topology optimization, smoothness, artificial immune systems
