A Survey on Recurrent Neural Network based model for solving the Assignment Problem

Assignment problem refers is the way of calculating a problem by assigning certain quantity of work to equal quantity of work handles inorder to obtain utmost optimized results. It occurs when one manages to solve a large problem to obtain optimized results and in the meantime fulfilling all the related constraints. Numerous ways on how assignment problem is solved has already been found but with the use of Recurrent Neural Network is a complete game changer. Although assignment problem is a method for optimizing a problem, incorporating Recurrent Neural Network leads to a more reliable, efficient and faster way of finding the most optimized result of the problem. This review is based on how assignment problem is solved effectively by using Recurrent Neural Network and discusses the various types of Recurrent Neural Network used in depth.