Multi-objective optimization of magnetic actuator design using adaptive weight determination scheme

摘要

This paper presents a multi-objective topology optimization method for a magnetic actuator design considering both magnetic force and actuator volume. We use a gradient-based optimization algorithm to obtain non-dominated optimal design solutions, and an adaptive weight determination scheme to ensure that the solutions are evenly distributed. The optimization problem is formulated to maximize the magnetic force and minimize the volume of the actuator. The level set function is employed as a topological design variable to obtain optimal designs that have clear structural boundaries.