Using simulated annealing to solve the p-Hub Median Problem
Locating hub facilities is important in different types of transportation and communication networks. The p-Hub Median Problem (p-HMP) addresses a class of hub location problems in which all hubs are interconnected and each non-hub node is assigned to a single hub. The hubs are uncapacitated, and th...
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| Veröffentlicht in: | International journal of physical distribution & logistics management 2001-04, Vol.31 (3), p.203-220 |
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| creator | Abdinnour-Helm, Sue |
| description | Locating hub facilities is important in different types of transportation and communication networks. The p-Hub Median Problem (p-HMP) addresses a class of hub location problems in which all hubs are interconnected and each non-hub node is assigned to a single hub. The hubs are uncapacitated, and their number p is initially determined. Introduces an Artificial Intelligence (AI) heuristic called simulated annealing to solve the p-HMP. The results are compared against another AI heuristic, namely Tabu Search, and against two other non-AI heuristics. A real world data set of airline passenger flow in the USA, and randomly generated data sets are used for computational testing. The results confirm that AI heuristic approaches to the p-HMP outperform non-AI heuristic approaches on solution quality. |
| doi_str_mv | 10.1108/09600030110389532 |
| format | Article |
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| ispartof | International journal of physical distribution & logistics management, 2001-04, Vol.31 (3), p.203-220 |
| issn | 0960-0035 1758-664X |
| language | eng |
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| source | Emerald A-Z Current Journals |
| subjects | Airlines Artificial intelligence Cities Cooling Cost reduction Distribution Heuristic Integer programming Linear programming Neural networks Operations research Optimization Supply chains Transportation Trucking industry |
| title | Using simulated annealing to solve the p-Hub Median Problem |
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