Multi-objective Optimization of Parallel Machine Scheduling Using Neural Networks

Provided by: International Journal of Latest Trends in Engineering and Technology (IJLTET)
Topic: Networking
Format: PDF
The case of identical jobs within a batch is common in manufacturing systems, where products or jobs have identical processing requirements. This paper considers the problem of scheduling jobs on parallel machines with the combined objective to minimize the make span, total tardiness and total earliness. Neural network is a technique which can deal with impreciseness and non linearity in problem solving. Neural network technique was found to be effective and used to select the best optimal schedule which minimizes the make span, total tardiness and total earliness.

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