This paper introduces an improved approach to topology optimization that combines the strengths of Digital Annealer (DA) and Genetic Algorithm (GA). This method eliminates the need for expert-driven formulation, thereby expanding its potential applications. The effectiveness of the proposed method is demonstrated through its successful application in optimizing the shape of a magnetic shield. The high-speed search capability of DA on the approximate model and the global search capability of GA synergistically enhance optimization performance.
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