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Mathematical model of hydrodynamic torque converter applied to optimisation calculations using genetic algorithm

机译:液力变矩器数学模型在遗传算法优化计算中的应用

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摘要

This paper describes a mathematical model of hydrodynamic torque converter applied to construction optimisation using a genetic algorithm as an optimisation method. The model estimation was performed for a pre-selected hydrodynamic torque converter. A modelling error of steady-state characteristic was considered as the quality criterion. During estimation calculations, the Monte Carlo method and a genetic algorithm were applied as optimisation methods. Verification of the applied mathematical model of hydrodynamic torque converter revealed a modelling error of about 5.8%.
机译:本文介绍了一种液压遗传算法的数学模型,该模型适用于使用遗传算法作为优化方法的施工优化。对预选的液力变矩器进行了模型估算。稳态特性的建模误差被认为是质量标准。在估算计算过程中,采用了蒙特卡罗方法和遗传算法作为优化方法。验证了液力变矩器的应用数学模型后,模型误差约为5.8%。

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