lower than the best model (DenseNet, which is hand-crafted on CIFAR10). Since the hand-crafted model does not have the process of searching the model, its GPU/Days is represented by '-'. Compared with the semi-automatic architecture design methods, our proposed algorithm has the lowest classification error rate on CIFAR10, and consumes less GPU/