A neural network model for scheduling problems
European Journal of Operational Research
288 - 299
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Artificial neural networks (ANNs) have been successfully applied to solve a variety of problems. This paper proposes a new neural network approach to solve the single machine mean tardiness scheduling problem and the minimum makespan job shop scheduling problem. The proposed network combines the characteristics of neural networks and algorithmic approaches. The performance of the network is compared with the existing scheduling algorithms under various experimental conditions. A comprehensive bibliography is also provided in the paper.
Machine mean tardiness scheduling problem
Minimum makespan job shop scheduling problem
Neural network model
Published Version (Please cite this version)http://dx.doi.org/10.1016/0377-2217(96)00041-0
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