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@@ -190,7 +190,9 @@ class ILSSurrogate(Algorithm):
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newSolution = ls.run(_ls_evaluations)
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# if better solution than currently, replace it (solution saved in training pool, only if surrogate process is in a second process step)
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- if self.isBetter(newSolution) and self.start_train_surrogate < self.getGlobalEvaluation():
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+ # Update : always add new solution into surrogate pool, not only if solution is better
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+ #if self.isBetter(newSolution) and self.start_train_surrogate < self.getGlobalEvaluation():
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+ if self.start_train_surrogate < self.getGlobalEvaluation():
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# if better solution found from local search, retrained the found solution and test again
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# without use of surrogate
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