基于粒子群优化算法的器件模型表面势求解

Solution of device model surface potential with particle swarm optimization algorithm

在研究器件建模和粒子群优化算法的基础上,提出了基于粒子群优化算法的器件模型表面势求解,从而建立整套模型参数。在粒子群优化算法的程序实现上,采用JAVA面向对象语言,封装粒子对象,进化中的粒子个体不断接近最优解。之后对经典的器件模型表面势方程进行了测试,证明了粒子群优化算法在器件建模方面的可行性。

Based on the research on device modeling and particle swarm optimization algorithm, proposes a solution of particle swarm optimization algorithm for device model surface potential, so as to establish a complete set of model parameters. On the particle swarm optimization algorithm program implementation, using JAVA object-oriented language, encapsulating particles,evolutionary particle individual is constantly close to the optimal solution. The classic device model surface potential equation was tested, and proved the feasibility of the particle swarm optimization algorithm in terms of device modeling.