A neural network and heuristics hybrid strategy for job-shop scheduling problem
Date
1999-06
Authors
Advisors
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Article
Peer reviewed
Yes
Abstract
A new efficient neural network and heuristics hybrid strategy for job-shop scheduling is presented. The neural network has the property of adapting its connection weights and biases of neural units while solving feasible solution. Heuristics are used to accelerate the solving process of neural network and guarantee its convergence, and to obtain non-schedule schedule from solved feasible solution by neural network with orders of operations determined and unchanged. Computer simulations have shown that the proposed hybrid strategy is of high speed and excellent efficiency.
Description
The file attached to this record is the author's final peer reviewed version.
Keywords
Job-shop scheduling, Neural network, Heuristics, Hybrid strategy
Citation
Yang, S. and Wang, D. (1999) A neural network and heuristics hybrid strategy for job-shop scheduling problem. Journal of Systems Engineering, 14(2), pp.140-144.