非线性电路的ACNGA求解方法研究

在非线性电路的研究中,非线性电路的全解集的求解方法研究是非线性电路理论的重要研究领域之一。遗传算法是一种模拟生物进化的最优化搜索方法,因其稳定性好、不需要计算目标函数的能处理多维数值问题,遗传算法在科学研究和工程技术中得到广泛运用。针对非线性电路的全解集的求解要求,本文提出了一种改进的具有自适应交叉算子的小生境遗传算法,成功地应用于非线性电路的全解集的求解,结果表明了具有自适应交叉算子的小生境遗传算法（ACNGA）对非线性电路求解的有效性和实用性。

Study on ACNGA Method for Solving Nonlinear Circuit

The method, applied to solve the collected answer of nonlinear circuit, is one of the most important research fields during the study of nonlinear circuit. Genetic algorithm is an optimal method simulating the natural evolution mechanism. Genetic algorithm has been widely used in science and technology by virtue of its robustness, freedom of calculating the gradient of the objective function and the ability of solving multi-dimensional numerical problems. In allusion to the demand for the solution to nonlinear circuit with collected answer, in this paper, an improved niche genetic algorithm with adaptive crossover operator is presented, and it is successfully applied to solve the collected answer to nonlinear circuit. The results show the effectiveness and practicality of adaptive crossover niche genetic algorithm method for the solution to nonlinear circuit.