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A Sweep-Based TCNN Algorithm for Capacity Vehicle Routing Problem

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Advances in Neural Networks – ISNN 2005 (ISNN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3496))

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Abstract

A novel sweep-based transiently chaotic neural network (STCNN) algorithm for Capacity Vehicle Routing Problem (CVRP) is proposed. CVRP can be partitioned into two kinds of decisions: the selection of vehicles among the available vehicles and the routing of the selected fleet. The proposed algorithm first generates a number of routes that are served by vehicles and then solves the routes to optimality. Simulations show that the proposed algorithm produces excellent solutions in short computing times.

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© 2005 Springer-Verlag Berlin Heidelberg

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Sun, H., Xie, J., Xue, Y. (2005). A Sweep-Based TCNN Algorithm for Capacity Vehicle Routing Problem. In: Wang, J., Liao, X., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427391_121

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  • DOI: https://doi.org/10.1007/11427391_121

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25912-1

  • Online ISBN: 978-3-540-32065-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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