Title :
Solving job-shop scheduling problem with priority using neural network
Author :
Zhang, Chang-shui ; Yan, Ping-fan ; Chang, Tong
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Abstract :
Based on an improved method of neural networks for a job-shop scheduling problem (JSP), a method for JSP with priority is described. Two other very important JSPs-the string problem and JSP with due dates-were transformed to JSP with priority using the proposed method. Simulations were successfully done; the method was found to be good and simple
Keywords :
neural nets; operations research; production control; due dates; job-shop scheduling; neural network; operations research; priority; production control; string problem; Automation; Constraint optimization; Cost function; Job shop scheduling; Laboratories; Neural networks; Neurons; Performance analysis; Robustness;
Conference_Titel :
Neural Networks, 1991. 1991 IEEE International Joint Conference on
Print_ISBN :
0-7803-0227-3
DOI :
10.1109/IJCNN.1991.170586
