Research on Circuit Optimization Design Based on Atomic Orbital Search Algorithm

Considering the complexity, multi-objective, and nonlinearity in the optimization design of electronic circuits, this paper proposes an optimization design based on atomic orbital search. First, the mathematical model of electronic circuit optimization design is established according to the structure and performance requirements of electronic circuits, and the objective function and constraint conditions of circuits are obtained. Second, an adaptive parameter adjustment strategy is proposed to improve the optimization efficiency and stability of the atomic orbital search algorithm. Then, according to the multi-objective nature of electronic circuits, we construct a fitness evaluation model that comprehensively considers Pareto optimality and diversity effects, making it more accurate in describing the objectives of electronic circuit optimization design. Finally, an electronic circuit optimization system based on an atomic orbital search algorithm is built. The effectiveness of the proposed method is proved by simulation and experiments.