DocumentCode :
3368776
Title :
Stochastic fuzzy disturbance recovery theory and rotation algorithm on the traveling salesman problem in material transportation
Author :
Zhou Lei ; Hui Hongqi
Author_Institution :
Coll. of Econ. & Manage., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
fYear :
2010
fDate :
26-28 June 2010
Firstpage :
2766
Lastpage :
2768
Abstract :
The esearch of traveling salesman problem is important to material transportation. There are many stochastic disturbance factors affecting material transportation in real activity, so that the result objectivity based on disruption and recovery theory and rotation algorithm to traveling salesman problem is low. In consideration of stochastic factors and fuzzy factors influence on material transportation, introducing stochastic analysis and fuzzy theory and putting forward stochastic disturbance recovery theory and the corresponding rotation algorithm can offset effectively the drawback of objectivity lag of disturbance recovery. Avoid the higher difference between theoretic results and the ideal ones; furthermore, promote the manipuility of the optimal plan. In the end, take the vehicle dispatch and route choice of material transportation in Hebei province as an example, and at the meantime make the simulation test to verify the affectivity of the algorithm. The results indicate that applying the algorithm can improve effectively the material transportation efficiency, and achieve high-speed mathematical operation.
Keywords :
fuzzy set theory; stochastic processes; transportation; vehicles; material transportation; stochastic analysis; stochastic fuzzy disturbance recovery theory; traveling salesman problem; vehicle dispatch; Cities and towns; Cost function; Disaster management; Educational institutions; Materials science and technology; Stochastic processes; Technology management; Transportation; Traveling salesman problems; Vehicles; Material transportation; Stochastic fuzzy disturbance recovery theory; Traveling salesman problem; Vehicle dispatching component; otation algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7737-1
Type :
conf
DOI :
10.1109/MACE.2010.5536762
Filename :
5536762
Link To Document :
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