TY  - JOUR
AB  - 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.
VL  - 31
IS  - 3
SN  - 0960-0035
DO  - 10.1108/09600030110389532
UR  - https://doi.org/10.1108/09600030110389532
AU  - Abdinnour‐Helm Sue
PY  - 2001
Y1  - 2001/01/01
TI  - Using simulated annealing to solve the p‐Hub Median Problem
T2  - International Journal of Physical Distribution & Logistics Management
PB  - MCB UP Ltd
SP  - 203
EP  - 220
Y2  - 2024/04/25
ER  -