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This paper presents an approach to schedule n jobs with processing times and due dates on a single machine based on Artificial Neural Network. The purpose of this paper to find a schedule that minimize a function of the sum of completion time and sum of tardiness (i,e to minimize the multiple objective functions (Ci,Ti)). Neural network technique was be found to be effective and used to select the best efficient and optimal schedule which minimizes the sum of completion time and sum of tardiness.

Constructing of an Artificial Neural Networks to Minimize Total Completion Time and Total Tardiness