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Multi-criteria optimisation of a continuously variable transmission

机译：无级变速器的多标准优化

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Manufacturing companies face tough competition across global markets with continuous demands to decrease product-development-cycle time whilst lowering costs without compromising quality. This paper presents a method of improving the efficiency of one aspect of the development cycle: functional optimisation. This optimisation technique is based around a modified genetic algorithm. This is used to develop a set of dimensions that fulfil stated, functional targets relating to the performance of a continuously variable transmission. These targets are prioritised based on an adapted Pugh's decision matrix for a number of different applications to automatically obtain weighted targets. Additionally, it is shown that for this particular problem, stochastic restarting of the genetic algorithm can lead to superior results without affecting computational time. This paper demonstrates that the methodology discussed can be successfully applied to a number of multi-objective problems in order to quickly yield the most favourable set of dimensions.
机译：制造业公司面临着不断挑战的全球市场竞争，他们不断要求缩短产品开发周期，同时在不降低质量的前提下降低成本。本文提出了一种提高开发周期一个方面的效率的方法：功能优化。该优化技术基于改进的遗传算法。这用于制定一组尺寸，以实现与无级变速箱性能相关的既定功能目标。这些目标根据适用于许多不同应用的经过修改的Pugh决策矩阵确定优先级，以自动获得加权目标。另外，对于该特定问题，表明遗传算法的随机重启可以导致优异的结果，而不会影响计算时间。本文证明，所讨论的方法可以成功地应用于许多多目标问题，以便快速得出最有利的维度集。

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