Published online by Cambridge University Press: 06 July 2010
This chapter presents several applications of integer linear programming: combinatorial auctions, the lockbox problem, and index funds. We also present a model of integer quadratic programming: portfolio optimization with minimum transaction levels.
Combinatorial auctions
In many auctions, the value that a bidder has for acquiring a set of items may not be the sum of the values that he has for acquiring the individual items in the set. It may be more or it may be less. Examples are equity trading, electricity markets, pollution right auctions, and auctions for airport landing slots. To take this into account, combinatorial auctions allow the bidders to submit bids on combinations of items.
Specifically, let M = {1, 2, …,m} be the set of items that the auctioneer has to sell. A bid is a pair Bj = (Sj, pj) where Sj ⊆ M is a nonempty set of items and pj is the price offer for this set. Suppose that the auctioneer has received n bids B1, B2, …, Bn. How should the auctioneer determine the winners in order to maximize his revenue? This can be done by solving an integer program. Let xj be a 0,1 variable that takes the value 1 if bid Bj wins, and 0 if it looses.
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