Since ergodicity is an effective mechanism to avoid trapping into local minima in the searching process, chaos has been a novel and potential optimization tool. 由于遍歷性可作為避免搜索過(guò)程陷入局部極小的有效機制，因此混沌理論已成為一種新穎且有潛力的優(yōu)化工具。
The algorithm uses the obtained grey value characteristic point as the searching foundation, which is different from the traditional ergodic search strategy. 該算法利用得出的灰度值特征點(diǎn)作為搜索依據，改變了傳統匹配方法遍歷性質(zhì)的搜索策略。
