Research Article
Energy-Efficient Virtual Network Embedding Algorithm Based on Hopfield Neural Network
Input: , , | Output: | (1) Network initialization, parameter selection. | (2) Calculate the ALM function according to Equations (21)–(24), and assign it to the neural network energy function . | (3) Calculate according to the dynamic function in Equation (26), and iteratively update it according to Equation (27). | (4) Calculate the binary variable according to the activation function in Equation (28). | (5) Determine if the iteration is over. If , then the algorithm is terminated. Otherwise, , and the algorithm returns to step 2. |
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