【摘要】 基于Biharmonic样条的曲面插值模型对脱色率随脱色时间、PANI-ZnO/α-Fe₂O₃复合材料投入量变化关系进行曲面拟合,获得误差平方和（sse）为1.688e-25,变量间相关程度系数（R-square）为1。利用杂草算法对降解条件进行全局寻优,经过200次迭代,杂草算法耗时484.199320 s输出了寻找到的最优解:脱色率为98.1972%,催化反应时间为464.2652 min,PANI-ZnO/α-Fe₂O₃复合材料投入量为41.1397 mg。首次实现了杂草算法应用于多变量的复杂化学问题求解,计算结果表明杂草算法可以快速收敛,方法准确可靠。更多还原

【Abstract】 Surface interpolation based on Biharmonic spline was used in this experiment to simulate the relation among decoloration rate（%）,time（min） and PANI-ZnO/α-Fe₂O₃（mg）.Simultaneously,the error sum of squares（sse） is 1.688e-25,and degree of correlation coefficients between variables（R-square） is 1.Invasive Weed Optimization was always used for the global optimization of degradation conditions.After200 iterations,with 484.199320 s time-consuming,the optimal solution（decolorization rate is 98.1972%,the catalytic reaction time is464.2652 min,PANI-ZnO/α-Fe₂O₃ inputs is 41.1397 mg） is outputted.Invasive Weed Optimization utilized in the solving of complex multivariate chemical problem for the first time.The result shows that Invasive Weed Optimization is accurate and reliable,and has a surprising application prospect in other complex chemical systems with more variables.更多还原