摘要： 测试生成算法评估与预报系统分别利用回归算法、神经网络算法和遗传算法为测试生成算法建立预报模型,使得对给定电路,不必 实际运行测试生成算法,就可快速地得到最有效的测试生成算法。对如何利用遗传算法建立预报模型进行了较为详细的论述。

关键词: 遗传算法, 遗传算法预报模型, 测试生成算法, 特征参数, 可测性参数

Abstract: An evaluation and forecasting system for test generation algorithm establishes forecasting models by using regression algorithm, neural network and genetic algorithm. We needn't run test generation algorithm to given circuit by using the system, and we can rapidly get the most effective test generation algorithm. The paper mostly discusses establishing forecasting models by using genetic algorithm. ;;;;

中图分类号: 

• TN406