American Society of Civil Engineers


Application of Transportation Optimization Algorithm Based on Hopfield Neural Network


by Wenquan Bie, (Guangdong Industry Technical College, 510300 PRC. E-mail: Qingqingcao4@21cn.com) and Mo Kuang, (Business Collegein Guangzhou University, 510006 PRC. E-mail: kuangmo-169@263.net)
Section: Travel Behavior, Simulation, and Transportation Planning, pp. 127-132, (doi:  http://dx.doi.org/10.1061/41184(419)22)

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Document type: Conference Proceeding Paper
Part of: ICTE 2011
Abstract: By researching the whole process of supply chain system logistics, from the general construction inside of the supply chain, this papers abstracts to draw out the supply chain logistics network diagram, and also summarizes the characteristics of the network diagram. Owing to the complexity of the logistics network of supply chain, and sets up the optimize models of the conveyance system of that network. Hopfield neural network map is utilized to solve traveling salesman problem. The arithmetic of software is given. Applying Neural Networks of Hopfield to optimize the model Balance of Supply-demand transportation.


ASCE Subject Headings:
Transportation management
Optimization
Algorithms
Neural networks