论文部分内容阅读
由于电子产品的设计周期越来越短,而对其降低成本和提高质量的要求却越来越高,电子线路的优化设计日益受到人们的关注。本文提出了一种实用的电子线路参数优化算法—均匀设计多项式拟合遗传优化算法。其主要思想是采用拟合的多元多项式代替电路仿真以指导遗传算法进行搜索,以便减少电路的仿真次数。并在数据采集过程中运用均匀设计方法,不仅能减少数据采样的数目,而且能使初始群体包含丰富的信息,更利于其收敛。电路优化实例表明,本算法对设计目标复杂以及参数较多电路的优化是有效的。
As the design cycle of electronic products is getting shorter and shorter, and their requirements for cost reduction and quality improvement are getting higher and higher, the optimal design of electronic circuits is attracting more and more attention. This paper presents a practical electronic circuit parameter optimization algorithm - uniform design polynomial fitting genetic optimization algorithm. The main idea is to use the fitted multivariate polynomial instead of circuit simulation to guide the genetic algorithm to search, in order to reduce the number of circuit simulation. In the process of data collection, the uniform design method can not only reduce the number of data samples, but also make the initial population contain rich information, which is more conducive to its convergence. The circuit optimization example shows that this algorithm is effective for the design of complex and more parameters of the circuit optimization.