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Optimization of process parameters using genetic algorithm and PSO

机译:遗传算法和PSO的过程参数优化

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Process Industries parameters have to be measured. In Pulp Industry quality of paper (Copier) is determined by many factors of which Brightness and Thickness are the most important. Optimization of parameters is obtained through PSO and results are compared with GA and it is found that PSO has better computational efficiency than GA Effectiveness has increased by using VI as a tool in control process.
机译:过程行业必须测量参数。在纸浆行业的纸张质量(复印机)中由许多因素决定,其中亮度和厚度是最重要的。通过PSO获得参数的优化,并将结果与​​GA进行比较,发现PSO具有更好的计算效率,而是通过使用VI作为控制过程的工具增加了GA效率。

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