基于非支配遗传算法-Ⅱ的放大电路分立元件自动参数优化方法

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中图分类号：S778 文献标识码：A DOI：10.7525/j.issn.1006-8023.2025.04.018

Abstract：Theamplification circuit represents apivotalcomponent withinthe domainof forestry intelligent equipment， with its functionality exertinga direct influenceonthe eficacywith which weak signalsaremonitored within forestry monitorngapplications.High-performance discrete amplification circuits are complex in structure，andthe traditional manual selectionof discretecomponent parameters inanalogue circuits is ineffcientand dificult to meettherequirementsoflow noiseand high stabilityin fieldssuch as forest firemonitoringand wood defectdetection.The purposeof this paperis to propose anautomaticparameteroptimization methodfordiscretecomponents in circuitsbasedon the nondominated sorting genetic algorithmII（NSGA-I）.Firstly，a parameter optimization model of the amplifier circuit is established，and design indicatorsare proposed inaccordance with therequirements.Next，NSGA-IIisused to solve the circuit parameters.Finally，theoptimization results are verified by comparing NSGA-II with manual methods，particleswarmalgorithms，vortexsearchalgorithmsand geneticalgorithms through simulationand physical testing of circuit boards.The experimental findings demonstrate that the NSGA-IIcircuit parameteroptimization method proposed in this study exhibits asubstantialsuperiorityover manual approaches interms of circuit performance.Incomparison with classical single-bjectiveoptimization，italsopossessesadvantagesintermsofconvergencespeedandoptimizationstability This method provides an eficient solution forthedesign of high-precision amplification circuits for forestry sensors，and it can be expanded to encompass the design optimization of other forestry equipment circuits in the future. Keywords：Amplification circuit; parameter optimization; circuit optimization design; NSGA-II algorithm；sensor

0 引言

放大电路是现代电子设备体系中的重要组成部分，其主要功能是对微弱电信号进行放大使其可以达到后端负载的驱动要求或者测量电路的接收阈值]。（剩余13701字）