DocumentCode :
2522963
Title :
Approaching the fuzzy road transport traveling salesman problem by eugenic bacterial memetic, algorithm
Author :
Botzheim, János ; Foldesi, P.
Author_Institution :
Dept. of Autom., Szechenyi Istvan Univ., Gyor, Hungary
fYear :
2009
fDate :
21-25 Oct. 2009
Firstpage :
15
Lastpage :
22
Abstract :
The aim of the Traveling Salesman Problem (TSP) is to find the cheapest way of visiting all elements in a given set of cities and returning to the starting point. In solutions presented in the literature costs of travel between nodes (cities) are based on Euclidean distances, the problem is symmetric and the costs are constant. In this paper a novel construction and formulation of the TSP is presented in which the requirements and features of practical application in road transportation and supply chains are taken into consideration. Computational results are presented as well.
Keywords :
computational complexity; evolutionary computation; supply chain management; transportation; travelling salesman problems; Euclidean distances; eugenic bacterial memetic algorithm; fuzzy road transport; road transportation; supply chains; traveling salesman problem; Cities and towns; Computational intelligence; Costs; Logistics; Microorganisms; Polynomials; Road transportation; Supply chains; Traveling salesman problems; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Intelligent Informatics, 2009. ISCIII '09. 4th International Symposium on
Conference_Location :
Luxor
Print_ISBN :
978-1-4244-5380-1
Electronic_ISBN :
978-1-4244-5382-5
Type :
conf
DOI :
10.1109/ISCIII.2009.5342281
Filename :
5342281
Link To Document :
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