Abstract
This paper studies the continuous maximum capacity path interdiction problem, where two players, user and interdictor, compete in a capacitated network. The user wants to send the maximum possible amount of flow through a path, whose capacity is given by the minimum capacity among its arcs. The budget-constrained interdictor decreases arc capacities by any continuous amount to reduce the quality of the user's chosen path. We present an efficient algorithm based on a discrete version of the Newton's method, which helps us solve the problem in polynomial time. We also prove that the problem can be transformed into a zero-sum game, which has always a pure Nash equilibrium point. We demonstrate the performance of our algorithm over a set of randomly generated networks.
Original language | English (US) |
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Journal | European Journal of Operational Research |
DOIs | |
State | Accepted/In press - 2022 |
Keywords
- Interdiction games
- Maximum capacity path
- Network interdiction
- Networks
- Newton's method
- Stackelberg games
ASJC Scopus subject areas
- Computer Science(all)
- Modeling and Simulation
- Management Science and Operations Research
- Information Systems and Management