Topology optimization using combination of quantum-inspired computing and genetic algorithm

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.