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@@ -144,8 +144,7 @@ class ILSSurrogate(Algorithm):
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self.resume()
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if self.start_train_surrogate <= self.getGlobalEvaluation():
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- self.load_surrogate()
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- else:
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+
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# get `self.start_train_surrogate` number of real evaluations and save it into surrogate dataset file
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# using randomly generated solutions (in order to cover seearch space)
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while self.start_train_surrogate <= self.getGlobalEvaluation():
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@@ -159,6 +158,8 @@ class ILSSurrogate(Algorithm):
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self.add_to_surrogate(newSolution)
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self.increaseEvaluation()
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+
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+ self.load_surrogate()
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# initialize current solution
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self.initRun()
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