Dynamical Random Neural Network (DRNN) has been suggested as tools for the solution of optimization problems [1, 2]. Here DRNN method is applied to solve the problem of optimal resource allocation with both minimum and maximum activation levels and fixed cost. The problem is NP-hard. The conclusion shows that the DRNN method provides results of the optimal resource allocation problem better than those given by [3]. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Zhong, Y., Sun, D., & Wu, J. (2005). Dynamical random neural network approach to a problem of optimal resource allocation. In Lecture Notes in Computer Science (Vol. 3512, pp. 1157–1163). Springer Verlag. https://doi.org/10.1007/11494669_142
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