Dynamical random neural network approach to a problem of optimal resource allocation

Authors:
YongJun Zhong;DonChuan Sun;JianJun Wu
Affiliations:
School of Business Administration, South China University of Technology, Guangzhou, China;The Zhuhai College of Jinan University, Zhuhai, China;The Department of Computer Science, Hexi University, Zhangye, China
Venue:
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Year:
2005

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Abstract

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].