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SARA
2007
Springer
13 years 11 months ago
Approximate Model-Based Diagnosis Using Greedy Stochastic Search
Most algorithms for computing diagnoses within a modelbased diagnosis framework are deterministic. Such algorithms guarantee soundness and completeness, but are NPhard. To overcom...
Alexander Feldman, Gregory M. Provan, Arjan J. C. ...
APPROX
2006
Springer
114views Algorithms» more  APPROX 2006»
13 years 9 months ago
Stochastic Combinatorial Optimization with Controllable Risk Aversion Level
Anthony Man-Cho So, Jiawei Zhang, Yinyu Ye
WINE
2009
Springer
178views Economy» more  WINE 2009»
13 years 12 months ago
Computing Optimal Contracts in Series-Parallel Heterogeneous Combinatorial Agencies
We study an economic setting in which a principal motivates a team of strategic agents to exert costly effort toward the success of a joint project. The action taken by each agent...
Yuval Emek, Michal Feldman
APPROX
2005
Springer
111views Algorithms» more  APPROX 2005»
13 years 10 months ago
Sampling Bounds for Stochastic Optimization
A large class of stochastic optimization problems can be modeled as minimizing an objective function f that depends on a choice of a vector x ∈ X, as well as on a random external...
Moses Charikar, Chandra Chekuri, Martin Pál
ANTSW
2004
Springer
13 years 10 months ago
S-ACO: An Ant-Based Approach to Combinatorial Optimization Under Uncertainty
A general-purpose, simulation-based algorithm S-ACO for solving stochastic combinatorial optimization problems by means of the ant colony optimization (ACO) paradigm is investigate...
Walter J. Gutjahr