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Merge pull request #1677 from 1122455801/ga_backtester_01

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[Mod] cta_backtester
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@ -247,7 +247,7 @@ vnpy提供2种参数优化的解决方案：穷举算法、遗传算法
- 输入需要优化的参数名、优化区间、优化步进，以及优化目标； - 输入需要优化的参数名、优化区间、优化步进，以及优化目标；
- 形成全局参数组合，该组合的数据结构是列表内镶嵌元组，即[[(key, value), (key, value)] , [(key, value), (key,value)]]，与穷举算法的全局参数组合的数据结构不同。这样做的目的是有利于参数间进行交叉互换和变异。 - 形成全局参数组合，该组合的数据结构是列表内镶嵌元组，即\[[(key, value), (key, value)] , [(key, value), (key,value)]]，与穷举算法的全局参数组合的数据结构不同。这样做的目的是有利于参数间进行交叉互换和变异。
``` ```
def generate_setting_ga(self): def generate_setting_ga(self):
"""""" """"""