Computational geometry: an introduction
Computational geometry: an introduction
A generalized linear production model: A unifying model
Mathematical Programming: Series A and B
On the core of network synthesis games
Mathematical Programming: Series A and B
Mathematical Programming: Series A and B
Mathematics of Operations Research
On the complexity of testing membership in the core of min-cost spanning tree games
International Journal of Game Theory
Recent results on approximating the Steiner tree problem and its generalizations
Theoretical Computer Science - Selected papers in honor of Manuel Blum
Applications of approximation algorithms to cooperative games
STOC '01 Proceedings of the thirty-third annual ACM symposium on Theory of computing
The Pursuit of Organizational Intelligence: Decisions and Learning in Organizations
The Pursuit of Organizational Intelligence: Decisions and Learning in Organizations
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Algorithmic Game Theory
On a cost allocation problem arising from a capacitated concentrator covering problem
Operations Research Letters
| Hi-index | 0.00 |
We investigate the cost allocation strategy associated with the problem of providing some service of common interest from some source to a number of network users, via the minimum cost directed Steiner tree (ST) network that spans the source and all the receivers. The cost of such ST is distributed among its receivers who may be individuals or organizations with possibly conflicting interests. The objective of this article is to develop a reasonably fair and efficient cost allocation scheme associated with the above cost allocation problem. Since finding the optimal Steiner tree is an NP-hard problem, the input to our cost allocation problem is the best known Steiner tree obtained using some heuristic. To allocate the cost of this Steiner tree to the users (receiver nodes), we formulate the associated Modified Steiner Tree Network (MSTN) game in characteristic function form. Then we construct a primal-dual cost allocation algorithm which finds some points in the core of the MSTN game and thus results in subsidy-free cost allocations. Moreover, for the given Steiner tree, our cost allocation scheme is efficient and finds the above “fair” cost allocations in polynomial time. © 2011 Wiley Periodicals, Inc. NETWORKS, 2012 © 2012 Wiley Periodicals, Inc.