WSC
2004
14 years 3 months ago
2004
Recently, simulation-based methods have been successfully used for solving challenging stochastic optimization problems and equilibrium models. Here we report some of the recent p...
UAI
2004
14 years 3 months ago
2004
We show that the class of strongly connected graphical models with treewidth at most k can be properly efficiently PAC-learnt with respect to the Kullback-Leibler Divergence. Prev...
ICAI
2003
14 years 3 months ago
2003
Many real-world search and optimization problems naturally involve constraint handling. Recently, quite a few heuristic methods were proposed to solve the nonlinear constrained op...
IJCAI
2001
14 years 3 months ago
2001
We study the impact of backbones in optimization and approximation problems. We show that some optimization problems like graph coloring resemble decision problems, with problem h...
AAAI
2006
14 years 3 months ago
2006
We present a new formulation of distributed task assignment, called Generalized Mutual Assignment Problem (GMAP), which is derived from an NP-hard combinatorial optimization probl...
DAGSTUHL
2007
14 years 3 months ago
2007
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
EVOW
2008
Springer
14 years 3 months ago
2008
Springer
Recently, a new iterative optimization framework utilizing an evolutionary algorithm called "Prototype Optimization with Evolved iMprovement Steps" (POEMS) was introduced...
APPROX
2008
Springer
14 years 3 months ago
2008
Springer
Abstract. In this paper, we propose a general framework for designing fully polynomial time approximation schemes for combinatorial optimization problems, in which more than one ob...
WSC
2008
14 years 4 months ago
2008
Continuous-variable simulation optimization problems are those optimization problems where the objective function is computed through stochastic simulation and the decision variab...
WSC
2007
14 years 4 months ago
2007
This paper describes an innovative framework, iFAOSimo, which integrates optimization, simulation and GIS (geographic information system) techniques to handle complex spatial faci...