加速遗传算法的层次分析法的探讨

Discussion on the Accelerating Genetic Algorithm Analytic Hierarchy Process

本文提出了一种改进的层次分析法??基于实数编码的加速遗传算法的层次分析法(RAGA-AHP),此方法可同时确定各层次各元素相对重要性的排序权值且把判断矩阵的一致性检验转化为一非线性系统的优化问题。RAGA-AHP法直观有效、简便可行,计算精度高于目前其它方法,该方法具有广泛的适用性,可应用于各种实际问题。本文利用此方法对中国乳品工业进行了实证分析,有效地指出了中国乳业存在问题的优序关系。

The paper provides an improved analytic hierarchy process which is on the basis of the real coding accelerating genetic algorithm（ RAGA - AHP）. It can identify the improtance ranking value of different factors from differernt hierarchy at the same time, and change the conformance test that estimate matrix to an optimization problem for nonlinear system. RAGA - AHP is intuitive, effective and easy to use. Its calculating accuracy is higher than other methods currently. It has a wide range of applicability for all kinds of practical questions. The paper provides an empirical study on China dairy industy with this method, and points out the preferential relation in the problem of China dairy industry.