Avoiding local optima in the p-hub location problem using tabu search and grasp
Annals of Operations Research - Special issue on locational decisions
Solving the uncapacitated hub location problem using genetic algorithms
Computers and Operations Research
A hub covering model for cargo delivery systems
Networks - Special Issue on Multicommodity Flows and Network Design
Hub Arc Location Problems: Part I-Introduction and Results
Management Science
Modeling health care facility location for moving population groups
Computers and Operations Research
Capacitated single allocation hub location problem-A bi-criteria approach
Computers and Operations Research
A tabu-search based heuristic for the hub covering problem over incomplete hub networks
Computers and Operations Research
Computers and Industrial Engineering
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The hub location problem is to find a set of hub nodes on the network, where logistics transportation via the hubs is encouraged because of the cost or distance savings. Each node that has a specified amount of demands can be connected to one of p hubs. The uncapacitated single allocation p-hub maximal covering problem is to maximize the logistics covered, where the logistics of demand is said to be covered if the distance between two nodes is less than or equal to the specified range in consideration of the distance savings between hubs. The aim of our model is to locate the hub, and to allocate non-hub nodes to the located hub nodes; the hub can maximize the demand covered by deadline traveling time. It is presented an integer programming formulation for the new hub covering model, and a computational study based on several instances derived from the CAB (Civil Aeronautics Board) data set. Two heuristics, distance based allocation and volume based allocation methods, are suggested with a computational experiment on the CAB data set. Performances of heuristics are evaluated, and it is shown that good solutions are found in a relatively reasonable computation time for most of instances.