Knapsack problems: algorithms and computer implementations
Knapsack problems: algorithms and computer implementations
Software—Practice & Experience - Special issue on discrete algorithm engineering
Heuristic concentration for the p-median: an example demonstrating how and why it works
Computers and Operations Research
Topological Design of Two-Level Telecommunication Networks with Modular Switches
Operations Research
On the Design Problem of Multitechnology Networks
INFORMS Journal on Computing
A branch and cut algorithm for hub location problems with single assignment
Mathematical Programming: Series A and B
A mixed-integer approach to Core-Edge design of storage area networks
Computers and Operations Research
Lower and upper bounds for a two-level hierarchical location problem in computer networks
Computers and Operations Research
Star p-hub median problem with modular arc capacities
Computers and Operations Research
Multiple allocation hub-and-spoke network design under hub congestion
Computers and Operations Research
A conditional p-hub location problem with attraction functions
Computers and Operations Research
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
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This paper deals with a capacitated hub location problem arising in the design of telecommunications networks. The problem is different from the classical hub location problem in two ways: the cost of using an edge is not linear but stepwise and the capacity of a hub restricts the amount of traffic transiting through the hub rather than the incoming traffic. In this paper both an exact and a heuristic method are presented. They are compared and combined in a heuristic concentration approach to investigate whether it is possible to improve the results within limited computational times.