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Study on TSP and Optimization Based on Hopfield Neural Network

Wang Ling, Zheng Dazhong (Tsinghua University)  
Hopfield neural network (HNN) is an efficient optimization model, but it is easy to be trapped in local minima and illegal solutions and very susceptible to initial conditions. Through simulations with typical traveling salesman problem (TSP), some drawbacks of HNN are analyzed, and several improvements are summed up and proposed. Moreover, with respect to the powerful engineering background of TSP, some improving research and approaches are presented.
【Fund】: 国家自然科学基金;;国家攀登计划基金
【CateGory Index】: TP183
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