Abstract: The mean field annealing approach is a new neural network model，which improves simulated annealing approach greatly．In this paper，a mean field annealing approach for general cell placement is proposed．In the algorithm，a three-dimensional permute matrix of binary vari-ables is used to map the problem to the neural network，the energy function including object item and overlap constrained item is presented，and then iteration procedure is put into practice with the mean annealing equation．Normalization of neurons proves that one cell can only be assigned to one position in the placement grid．