Genetic algorithms for optimisation of optical fibre UV sensor

机译：遗传算法优化光纤紫外线传感器

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In the paper simple genetic algorithm (SGA) as well as its modifications were applied for optimisation of an optical fibre UV sensor construction. Influence of the algorithm parameters i.e. the population size, the probability of crossover and mutation from the point of view of algorithm efficiency is discussed herein.

机译：在本文中，将简单遗传算法（SGA）及其修改应用于优化光纤UV传感器的结构。从算法效率的角度，讨论了算法参数的影响，即种群大小，交叉和突变的可能性。

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来源
《Conference on Lightguides and their Applications II; 20031009-20031011; Krasnobrod; PL》|2003年|P.461-465|共5页
会议地点 Krasnobrod(PL);Krasnobrod(PL)
作者
Grzegorz Sudolski; Jan Rayss; Wieslaw A. Kaminski;
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作者单位

Laboratory of Optical Fibre Technology;

Faculty of Chemistry, Maria Curie-Sklodowska University;

Maria Curie-Sklodowska sq. 2, PL-20-031 Lublin, Poland;

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会议组织
原文格式 PDF
正文语种 eng
中图分类应用光学;
关键词
genetic algorithms; global optimisation; optical fibre sensors; UV light detection;

机译：遗传算法;全局优化;光纤传感器;紫外光检测;
入库时间 2022-08-26 14:09:03

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Genetic algorithms for optimisation of optical fibre UV sensor

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