Neural Networks for Optimization and Signal Processing
Neural Networks for Optimization and Signal Processing
IEEE Transactions on Neural Networks
A new gradient-based neural network for solving linear and quadratic programming problems
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
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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.