蚁群神经网络在旅行商问题中的应用
Application Research for TSP Based on Neural Network-Ant Colony Algorithm
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摘要: 在求解旅行商问题(TSP)时,首先引入交叉策略进行预处理,将具体的地图抽象为常见的无向完全图,即把TSP抽象为求无向完全图的一条Hamilton回路;然后用蚁群算法与人工神经网络相结合的方法来求解.实验结果表明了该方法的可行性和高效性.Abstract: In this paper,a new method is presented to solve the TSP.In this method,the map is at first abstracted as undirected complete graph,then the TSP is converted to one Hamilton cycle of the undirected complete graph,a combination of the ant colony optimization and the artificial neural network is used to solve the problem.The experimental results show the feasibility and high efficiency of the proposed method.
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