DocumentCode :
2777934
Title :
Research on the non-strict uncapacitated multiple allocation p-hub median problem based on tuba search
Author :
Bai Ming-Guo
Author_Institution :
Sch. of Manage., Anhui Univ. of Technol., Ma´anshan, China
fYear :
2009
fDate :
17-19 June 2009
Firstpage :
2156
Lastpage :
2160
Abstract :
The problem of locating hub facilities arises in the design of transportation and telecommunications networks. In this paper we consider the non-strict uncapacitated multiple allocation p-hub median problem which belongs to a class of discrete location-allocation problems. A mixed integer linear programming model of the non-strict uncapacitated multiple allocation p-hub median problem is proposed and a new heuristic algorithm based on tabu search and the shortest path algorithm is put forward to solve the non-strict uncapacitated multiple allocation p-hub median problem. Our algorithm is benchmarked on a Chinese data. Computational results demonstrate that the algorithm can find the best solution of all the problems within 0.14 seconds, so the heuristic algorithm has strong ability and quick efficiency in finding optimal solutions.
Keywords :
facility location; integer programming; linear programming; search problems; discrete location-allocation problems; hub facility location; mixed integer linear programming model; nonstrict uncapacitated multiple allocation; optimal solutions; p-hub median problem; tabu search; Algorithm design and analysis; Communication networks; Electronic mail; Heuristic algorithms; Linear programming; Mixed integer linear programming; Shortest path problem; Technology management; Telecommunication network management; Transportation; Heuristic algorithm; Hub; Non-hub; Shortest path algorithm; Tabu search;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
Type :
conf
DOI :
10.1109/CCDC.2009.5191675
Filename :
5191675
Link To Document :
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