Sabuncuoğlu, İ.Gurgun, B.2016-02-082016-02-0819960377-2217http://hdl.handle.net/11693/25777Artificial 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.EnglishNeural networksSchedulingAlgorithmsComputer simulationMachineryOptimizationProductionSchedulingSurveysMachine mean tardiness scheduling problemMinimum makespan job shop scheduling problemNeural network modelNeural networksA neural network model for scheduling problemsArticle10.1016/0377-2217(96)00041-0