In this paper, we concentrate on computing several critical budgets for interdiction of the multicommodity network flows, and studying the interdiction effects of the changes on budget. More specifically, we first propose general interdiction models of the multicommodity flow problem, with consideration of both node and arc removals and decrease of their capacities. Then, to perform the vulnerability analysis of networks, we define the function F(R) as the minimum amount of unsatisfied demands in the resulted network after worst-case interdiction with budget R. Specifically, we study the properties of function F(R), and find the critical budget values, such as , the largest value under which all demands can still be satisfied in the resulted network even under the worst-case interdiction, and , the least value under which the worst-case interdiction can make none of the demands be satisfied. We prove that the critical budget for completely destroying the network is not related to arc or node capacities, and supply or demand amounts, but it is related to the network topology, the sets of source and destination nodes, and interdiction costs on each node and arc. We also observe that the critical budget is related to all of these parameters of the network. Additionally, we present formulations to estimate both and . For the effects of budget increasing, we present the conditions under which there would be extra capabilities to interdict more arcs or nodes with increased budget, and also under which the increased budget has no effects for the interdictor. To verify these results and conclusions, numerical experiments on 12 networks with different numbers of commodities are performed.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/623040 |
| Date | 01 March 2016 |
| Creators | Zhang, Pengfei, Fan, Neng |
| Contributors | Department of Systems and Industrial Engineering, University of Arizona |
| Publisher | Springer |
| Source Sets | University of Arizona |
| Language | English |
| Detected Language | English |
| Type | Article |
| Rights | © Springer Science+Business Media New York 2016 |
| Relation | http://link.springer.com/10.1007/s10898-016-0422-8 |
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