The transportation problem is the classical combinatorial optimization problem arising in numerous planning and designing contexts. In this paper, a recurrent neural network for solving the transportation problem is presented. The recurrent neural network is able to generate optimal solutions to the transportation problem. The performance of the recurrent neural network is demonstrated by means of an illustrative example. The recurrent neural network is shown to be capable of generating the transportation and suitable for electronic implementation. © RJPT All right reserved.