基于遗传算法的技术成熟困难度计算方法

为避免基于表单的技术成熟困难度评价方法的主观性和片面性,提出了一种基于遗传算法的技术成熟困难度计算方法.该方法以技术成熟度评价结果为基础,对待评价技术的现有成熟状态作可视化处理,以二维坐标图的形式显示,再由预先建立的积分公式得出技术成熟困难度的计算结果,积分公式中的权重系数通过遗传算法的种群初始化、选择、交叉和变异等操作进行选择.实验证明,该方法能够客观准确地得出待评价技术从某一等级成熟度发展为另一等级成熟度的困难程度.

Computation of Advancement Degree of Difficulty Based on Genetic Algorithm

In order to avoid the subjectivity and limitation of the list method, a computing method of advancement degree of difficulty based on genetic algorithm was proposed. It took the evaluating results of technology maturity as the basis, and the maturity status of the technology to be evaluated was visualized to a two-dimensional coordinate figure. An integral formula was established to compute the advancement degree of difficulty. The weights of the integral formula were confirmed through the initiating, choosing, crossing, variation operation of genetic algorithm. The experiments show that the proposed method can get the difficulty degree of the technology from one maturity level to another maturity level objectively and accurately.