基于智能优化算法的求解电路方程对比研究

Comparative Study on Solving Circuit Equations Based on Intelligent Optimization Algorithms

摘要: 针对电路方程组求解难度大的问题，通过引入优化算法求解电路方程，可应用于更为复杂的电路计算。本文将线性电路方程转化为优化问题，为复杂电路计算提供高效解决方案。选取灰狼优化算法、白骨顶鸡优化算法和蜣螂优化算法三种典型智能优化算法，系统对比分析其在电路方程求解中的性能表现。通过建立电路方程模型，结合电路图进行数值验证。

Abstract: To address the difficulty of solving circuit equation systems, introducing optimization algorithms to solve circuit equations can be applied to more complex circuit calculations. This article transforms linear circuit equations into optimization problems, providing efficient solutions for complex circuit calculations. Select three typical intelligent optimization algorithms: Grey Wolf Optimization Algorithm, White Bone Top Chicken Optimization Algorithm, and Beetle Optimization Algorithm, and systematically compare and analyze their performance in solving circuit equations. By establishing circuit equation models and combining them with circuit diagrams, numerical verification can be performed.