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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References
Lenstra, J.K., Rinnooy Kan, A.H.G.: Complexity of Vehicle Routing and Scheduling Problems. Neural Networks 11, 221–227 (1981)
Rodriguez, P., Nussbaum, M., Baeza, R., Leon, G.: Using Global Search Heuristics for the Capacity Vehicle Routing Problem. Comp. Oper. Res. 25, 407–417 (1998)
Achuthan, N.R., Caccetta, L., Hill, S.P.: A New Subtour Elimination Constraint for the Vehicle Routing Problem. European J. of Operation Research 91, 573–586 (1996)
Gillett, B., Miller, L.: A Heuristic Algorithm for the Vehicle Dispatch Problem. Operations Research 22, 340–349 (1974)
Hopfield, J.J., Tank, D.W.: Neural Computations of Decisions in Optimization Problems. Biological Cybernetics 52, 141–152 (1985)
Wilson, G.V., Pawley, G.S.: On the Stability of the Traveling Salesman Problem Algorithm of Hopfield and Tank. Biological Cybernetics 58, 63–70 (1988)
Chen, L., Aihara, K.: Chaos Simulated Annealing by a Neural Network Model with Transient Chaos. Neural Networks 8, 915–930 (1995)
Aihara, K., Takabe, T., Toyoda, M.: Chaotic Neural Networks. Physical Letters A 144, 333–340 (1990)
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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
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