A FLOW SHOP SCHEDULING ALGORITHM BASED ON ARTIFICIAL NEURAL NETWORK

Abstract

In current years, artificial neural networks (ANNs) are of interest to researchers in many areas for different reasons. It has proved to be a good tool to solve many varieties of problems. This paper suggests an idea for the n jobs and m machines flow shop scheduling problems by applying the artificial neural network technique. The major purpose of this paper is to get the job sequence that minimizes the makespan. The performance of our suggested neural network system is compared with the immediate methods which are taken from different papers. A comparison of the procedure developed by us here with the other available methods available in the literature is also provided in this paper.