Abstract
The paper describes management-decision functions in a reservation allocation problem (RAP), and the purpose is to discuss how some recently developed techniques are combined with neural network to provide a firm’s management with important tools for this storage control. The research herein is not sophisticated from the mathematical point of view , as a matter of fact, borrows heavily from work already published in neural-network-research literature. An optimization technique using linear programming is essential in solving the discrete requirements case, and it has been used to solve this problem mathematically. Consequently, a reservation distribution is defined in the domain of storage management. We propose an exact and a heuristic way that transforms the RAP into a linear programming model, and compute the optimal solution in some methods in neural network.
This work was jointly supported by the National Natural Science Foundation of China under Grant 79970097.
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References
Tank, D.W., Hopfield, J.J.: Simple ’neural’ Optimization Network: An A/D Converter, Signal Decision Circuit and a Linear Programming Circuit. IEEE Trans. Circuits and Systems 7, 533–541 (1986)
Kennedy, M.P., Chua, L.O.: Neural Networks for Nonlinear Programming. IEEE Trans. Circuits and Systems 7, 554–562 (1988)
Baldcci, R., Maniezzo, V., Mingozzi, A.: An Exact Method for the Car Pooling Problem Based on Lagrangean Column Generation. Operations research 52, 422–439 (2004)
Xia, Y., Wang, J.: Global Exponential Stability of Recurrent Neural Networks for Solving Optimization and Related Problems. IEEE Trans. Neural Networks 11, 1017–1022 (2000)
Xia, Y., Wang, J.: A Recurrent Neural Networks for Nonlinear Convex Optimization Subject to Nonlinear Inequality Constraints. IEEE Trans. Circuits and Systems 7, 1385–1394 (2004)
Xia, Y., Wang, J.: A General Projection Neural Networks for Solving Monotone Variational Inequalities and Related Optimization Problems. IEEE Trans. Neural Networks 7, 318–328 (2004)
Powell, W.B., et al.: Implementating Real-time Optimization Models: A Case Application from the Motor Carrier Industry. Operations Research 50, 571–581 (2002)
Leung, Y., Chen, K.Z., Gao, X.B., Leung, K.S.: A New Gradient-based Neural Network for Solving Linear and Quadratic Programming Problems. IEEE Trans. Neural Networks 7, 1074–1083 (2001)
Cichocki, A., Unbehauen, R.: Neural Networks for Optimization and Signal Processing. Wiley, London (1993)
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© 2005 Springer-Verlag Berlin Heidelberg
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Pan, A., Yang, Y., Hu, H. (2005). Research on Reservation Allocation Decision Method Based on Neural Network. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3498. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427469_162
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DOI: https://doi.org/10.1007/11427469_162
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25914-5
Online ISBN: 978-3-540-32069-2
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