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Deterministic and stochastic optimization of RF nonlinear circuits

机译:RF非线性电路的确定性和随机优化

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This paper introduces a novel approach to the design of non-linear circuits. A deterministic gradient-based optimization algorithm (Quasi-Newton method) and a stochastic algorithm (Evolution Strategy method), both coupled to the harmonic-balance analysis technique, are utilized. The deterministic algorithm, when it reaches a solution, uses less CPU time than the stochastic method. On the other hand, the stochastic algorithm generates solutions which are nearer to the global minimum and can be used for problems which are not solvable by means of the deterministic method (high non-linearity and problems with discrete variables).
机译:本文介绍了一种对非线性电路设计的新方法。利用确定性梯度基础优化算法(准牛顿方法)和随机算法(耦合到谐波平衡分析技术的随机算法(演化策略方法)。确定性算法,当它到达解决方案时,使用比随机方法更少的CPU时间。另一方面,随机算法生成更靠近全局最小值的解决方案,并且可以通过确定性方法(高非线性度和离散变量问题)来使用不可溶解的问题。

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