传统的最优化技术大多是基于梯度寻优技术或随机搜索的方法。
Traditional optimization techniques search for the best solutions using gradients or random searching.
在此基础上探讨了借助信息流模型，利用列表寻优法优化测试序列。
Then the test sequence optimization is realized by using the information flow model and TABU.
混沌优化算法将混沌载波和模拟退火策略结合加快了寻优速度。
Chaos optimization algorithm, which combines chaos carrier wave with simulated annealing algorithm improves system optimization speed.
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