Title :
A neuro-fuzzy approach to the capacitated vehicle routing problem
Author :
de CT Gomes, L. ; Zuben, Fernando J Von
Author_Institution :
Dept. of Comput. Eng. & Ind. Autom., State Univ. of Campinas, Sao Paulo, Brazil
fDate :
6/24/1905 12:00:00 AM
Abstract :
Presents an approach to the vehicle routing problem. The method is based on self-organizing maps with one-dimensional neighborhood, adjustable number of neurons and network training guided by fuzzy rules. The distinctive aspect is the successful application of the algorithm to several instances while keeping parameters unchanged
Keywords :
adaptive control; computational complexity; fuzzy control; operations research; self-organising feature maps; transportation; unsupervised learning; capacitated vehicle routing problem; fuzzy rules; network training; neuro-fuzzy approach; one-dimensional neighborhood; self-organizing maps; Artificial neural networks; Automation; Automotive engineering; Computer industry; Industrial training; Neural networks; Neurons; Routing; Self organizing feature maps; Vehicles;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1007814
