Title :
Linear programming neural networks for job-shop scheduling
Author :
Chang, Seok Ho ; Nam, Boo Hee
Author_Institution :
Dept. of Control & Instrum. Eng., Kangwon Nat. Univ., Chunchon, South Korea
Abstract :
This paper presents linear programming neural networks for job-shop scheduling. The starting times of tasks and constraints are formulated as the linear programming problem. A modified Hopfield neural network is proposed for solving job-shop scheduling.
Keywords :
Hopfield neural nets; linear programming; mathematics computing; production control; scheduling; job-shop scheduling; linear programming neural networks; modified Hopfield neural network; Cost function; Equations; Hopfield neural networks; Instruments; Integer linear programming; Linear programming; Neural networks;
Conference_Titel :
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN :
0-7803-1421-2
DOI :
10.1109/IJCNN.1993.716887
