DocumentCode :
3539027
Title :
A combination of heuristic and non-heuristic approaches for modified Vehicle Routing Problem
Author :
Zelenka, J. ; Budinská, I. ; Dideková, Z.
Author_Institution :
Inst. of Inf., Bratislava, Slovakia
fYear :
2012
fDate :
5-7 Sept. 2012
Firstpage :
107
Lastpage :
112
Abstract :
The article addresses a specific Vehicle Routing Problem (VHP) as a part of an optimal cash deployment strategy for a network of Automated Teller Machines (ATMs). A combination of two different approaches (exact and heuristic one) is presented here. The combination of the All Nearest Neighbors (ANN) method with Near Neighbor Search (NNS) supported by the Brute-force method or the Cross Removal Method (CRN) represents an exact approach. The Ant Colony Optimization algorithm represents heuristics. A combination of exact methods with meta-heuristic approach gives better results in a reasonable time. The results are discussed and summarized at the end of the article. The purpose of the paper is to contribute to the panorama of various methods and algorithms for VRP with an emphasis on a real application.
Keywords :
ant colony optimisation; combinatorial mathematics; search problems; traffic engineering computing; vehicles; ANN; ATM; CRN; NNS; VRP; all nearest neighbors method; ant colony optimization algorithm; automated teller machines; brute-force method; cross removal method; exact methods; metaheuristic approach; modified vehicle routing problem; near neighbor search; nonheuristic approaches; optimal cash deployment strategy; optimization combinatorial task; Artificial neural networks; Customer relationship management; Mathematical model; Online banking; Simulation; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Logistics and Industrial Informatics (LINDI), 2012 4th IEEE International Symposium on
Conference_Location :
Smolenice
Print_ISBN :
978-1-4673-4520-0
Electronic_ISBN :
978-1-4673-4518-7
Type :
conf
DOI :
10.1109/LINDI.2012.6319471
Filename :
6319471
Link To Document :
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