瀏覽代碼

fix criteria for training surrogate

Jérôme BUISINE 4 年之前
父節點
當前提交
dfd737392a
共有 1 個文件被更改,包括 1 次插入1 次删除
  1. 1 1
      optimization/ILSSurrogate.py

+ 1 - 1
optimization/ILSSurrogate.py

@@ -143,7 +143,7 @@ class ILSSurrogate(Algorithm):
         # enable resuming for ILS
         self.resume()
 
-        if self.start_train_surrogate <= self.getGlobalEvaluation():
+        if self.start_train_surrogate > self.getGlobalEvaluation():
         
             # get `self.start_train_surrogate` number of real evaluations and save it into surrogate dataset file
             # using randomly generated solutions (in order to cover seearch space)