A neurodynamic approach to zero-one quadratic programming
A neurodynamic approach to zero-one quadratic programming
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DOI：
10.1007/s11075-021-01075-z
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Lin Haichan
中科院分区：
文献类型：
--
作者：
Ou Yigui;Lin Haichan
This paper proposes a neurodynamic approach to zero-one quadratic programming with linear constraints. Compared with one existing neurodynamic approach to such problems, the proposed one has lower dimensions of state variables and less computational cost, which makes the implementation easier. Under some suitable conditions, the stability and convergence properties of the proposed approach are established. Numerical simulation results and related comparisons show the efficiency of this proposed method in practical computation.
