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98
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TRANSCI
2011
80views more  TRANSCI 2011»
14 years 9 months ago
The Dynamic Uncapacitated Hub Location Problem
This paper presents a dynamic (or multi-period) hub location problem. It proposes a branch-and-bound algorithm that uses a Lagrangean relaxation to obtain lower and upper bounds a...
Ivan Contreras, Jean-François Cordeau, Gilb...
137
Voted
ICPP
2009
IEEE
15 years 9 months ago
Load Balance in the Phylogenetic Likelihood Kernel
—Recent advances in DNA sequencing techniques have led to an unprecedented accumulation and availability of molecular sequence data that needs to be analyzed. This data explosion...
Alexandros Stamatakis, Michael Ott
100
Voted
CLIMA
2004
15 years 4 months ago
Learning in BDI Multi-agent Systems
Abstract. This paper deals with the issue of learning in multi-agent systems (MAS). Particularly, we are interested in BDI (Belief, Desire, Intention) agents. Despite the relevance...
Alejandro Guerra-Hernández, Amal El Fallah-...
150
Voted
ANOR
2007
165views more  ANOR 2007»
15 years 2 months ago
Financial scenario generation for stochastic multi-stage decision processes as facility location problems
The quality of multi-stage stochastic optimization models as they appear in asset liability management, energy planning, transportation, supply chain management, and other applicat...
Ronald Hochreiter, Georg Ch. Pflug
139
Voted
IJAR
2006
98views more  IJAR 2006»
15 years 2 months ago
Inference in hybrid Bayesian networks with mixtures of truncated exponentials
Mixtures of truncated exponentials (MTE) potentials are an alternative to discretization for solving hybrid Bayesian networks. Any probability density function can be approximated...
Barry R. Cobb, Prakash P. Shenoy