Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/5991
Title: A neural network and heuristics hybrid strategy for job-shop scheduling problem
Authors: Yang, S
Wang, D
Keywords: Job-shop scheduling;Neural network;Heuristics;Hybrid strategy
Issue Date: 1999
Citation: Journal of Systems Engineering, 14(2), 140 - 144, June 1999
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.
URI: http://bura.brunel.ac.uk/handle/2438/5991
Appears in Collections:Computer Science
Dept of Computer Science Research Papers

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