Abstract
We consider the following allocation problem arising in the setting of combinatorial auctions: a set of goods is to be allocated to a set of players so as to maximize the sum of the utilities of the players (i.e., the social welfare). In the case when the utility of each player is a monotone submodular function, we prove that there is no polynomial time approximation algorithm which approximates the maximum social welfare by a factor better than 1-1/e≃0.632, unless P=NP. Our result is based on a reduction from a multi-prover proof system for MAX-3-COLORING.
Original language | English (US) |
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Pages (from-to) | 3-18 |
Number of pages | 16 |
Journal | Algorithmica (New York) |
Volume | 52 |
Issue number | 1 |
DOIs | |
State | Published - Sep 2008 |
Keywords
- Combinatorial auctions
- Hardness of approximation
- Social welfare
- Submodular
ASJC Scopus subject areas
- General Computer Science
- Computer Science Applications
- Applied Mathematics