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AAAI
2000
14 years 10 months ago
Solving Combinatorial Auctions Using Stochastic Local Search
Combinatorial auctions (CAs) have emerged as an important model in economics and show promise as a useful tool for tackling resource allocation in AI. Unfortunately, winner determ...
Holger H. Hoos, Craig Boutilier
SPAA
2004
ACM
15 years 2 months ago
Lower bounds for graph embeddings and combinatorial preconditioners
Given a general graph G, a fundamental problem is to find a spanning tree H that best approximates G by some measure. Often this measure is some combination of the congestion and...
Gary L. Miller, Peter C. Richter
CP
2006
Springer
15 years 1 months ago
Mini-bucket Elimination with Bucket Propagation
Many important combinatorial optimization problems can be expressed as constraint satisfaction problems with soft constraints. When problems are too difficult to be solved exactly,...
Emma Rollon, Javier Larrosa
ESA
2011
Springer
251views Algorithms» more  ESA 2011»
13 years 9 months ago
Improved Approximation Algorithms for Bipartite Correlation Clustering
In this work we study the problem of Bipartite Correlation Clustering (BCC), a natural bipartite counterpart of the well studied Correlation Clustering (CC) problem. Given a bipart...
Nir Ailon, Noa Avigdor-Elgrabli, Edo Liberty, Anke...
SWARM
2012
SPRINGER
329views Optimization» more  SWARM 2012»
13 years 5 months ago
A critical analysis of parameter adaptation in ant colony optimization
Applying parameter adaptation means operating on parameters of an algorithm while it is tackling an instance. For ant colony optimization, several parameter adaptation methods have...
Paola Pellegrini, Thomas Stützle, Mauro Birat...