Multivariate Testing To Optimize The Algorithms And Medical Applications

The purpose for multiple levels of multiple factors experiment and optimization is to test the significance of individual factor and to search the best experimental condition for the response variable. The study introduces the method of regression analysis to the analysis of data of orthogonal experiment about withdrawing total flavone from wood bean leaves and measuring residual protein in the production of pepsin by fitting quadratic response surface regression model. The results showed that two the quadratic response surface regression models were significant in the significance of linear term and quadratic term but no significance of cross product term. The fitting effect of the models was good.The best experimental condition was searched by the steepest ascending method and genetic algorithm (GA). The steepest ascending method finds the best local point by climbing the steepest permissible gradient around search space until the gradient of object function equal to zero. A genetic algorithm emulates biological evolutionary theories to solve optimization problems. According to evolutionary theories, only the most suited strings in the population are likely to survive and generate their offspring, thus transmitting their biological heredity to new generations.The best local point of withdrawing total flavone from wood bean leaves was that with 10.2 times of water, 3 times of decoction of 1.5 hours each, in the water temperatured 93 , the withdrawing measure of total flavone reached 0.896029mg/g, according to the steepest ascending method. According to GA, under the following condition when population size=30,chromosome length=80, crossover probability=0.80, mutation probability=0.05, max generation=100, an excellent design strategy was that with 10.5 times of water, 3 times of decoction of 1.5 hours each, in the water temperatured 99.7 , the withdrawing measure of total flavone reached 1.0713mg/g. The result showed GA was more excellent than the steepest ascending method. The total flavone was increased 0.1753mg/g, that was it was increased 20%. If extending the searching scope of decoction time from 0.75 to 2.0 hours, the best experimental condition was that with 10.5 times of water, 3 times of decoction of 1.5 hours each, in the water temperatured 99.4 , the withdrawing measure of total flavone attained to 1.8499 mg/g, which was increased 0.7786 mg/g, increaseing 72.68% than the former by GA. The best local point of measuring residual protein in the production of pepsin was that with 45.4 of the hydrolysis temperature, 3.95 hours of the hydrolysis time 3.0%HCL and 61.5 of the bake-house's temperature, the measure of residual protein in the production of pepsin reduced to 0.007569mol, according to the steepest ascending method. According to GA, under the following condition when population size=40, chromosome length=80, crossover probability=0.85, mutation probability=0.05, max generation=100, an excellent design strategy was that with 46.7 of the hydrolysis temperature, 3.75 hours of the hydrolysis time 3.0%HCL and 64.1 C of the bake-house's temperature, the measure of residual protein in the production of pepsin reduced to 0.0001mol. The result showed GA was more excellent than the steepest ascending method. The measure of residual protein was decreased 0.0075mol, that was it was decreased 98.68%, than the former by GA.