基于量子遗传算法对高温防护服最优厚度的研究

Research on optimal thickness of high temperature workwear based on quantum genetic algorithm

针对优化多层高温作业服厚度的问题,首先运用傅里叶定律理论,在第Ⅰ、Ⅱ、Ⅲ层只考虑热传导以及第IV层(空气层)只考虑热传导和热辐射的情况下,研究高温作业服一般点、跃变点、系统边界处的运动规律以及初始条件,采取第三类边界条件,构建热传递系统模型;然后,使用Matlab,采取隐式有限差分法对模型求解,得出各层温度分布情况;最后,对该模型进一步深化,构建以厚度-时间函数为目标函数的反问题模型,将其作为适应度函数,编写量子遗传算法,得出高温作业服第二层的最优厚度。其中,在编码操作时采取多量子比特编码,遗传算子加入量子旋转门种群更新操作。

For the optimization of fabric thickness of multi-layer high-temperature clothes,it studies with Fourier's theory the high temperature work clothes’motion law at the general point,at the transition point and at the boundary of the system,and the initial conditions with the consideration of only heat conduction in the first,second and third layers and heat conduction and radiation in the fourth layer(air layer).We construct a complete heat transfer model in the third boundary condition.Then the model goes through the decoupling simplification process and the implicit finite difference method with Matlab to get the temperature distribution of third level.Finally,the inverse problem model with the objective function of the thickness-time function is constructed,which is used as fitness function to write QCA,and get the optimum thickness of the second layer of high-temperature clothes.Furthermore,multi-quantum bit coding is adopted in the encoding operation and a quantum revolving gate population into genetic operator.