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111
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APPROX
2005
Springer
111views Algorithms» more  APPROX 2005»
15 years 6 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
WSC
2007
15 years 3 months ago
Sequential sampling for solving stochastic programs
We develop a sequential sampling procedure for solving a class of stochastic programs. A sequence of feasible solutions, with at least one optimal limit point, is given as input t...
Güzin Bayraksan, David P. Morton
124
Voted
IJSIR
2010
161views more  IJSIR 2010»
14 years 10 months ago
Bacterial Foraging Optimization
Bacterial foraging optimization algorithm (BFOA) has been widely accepted as a global optimization algorithm of current interest for distributed optimization and control. BFOA is i...
Kevin M. Passino
GECCO
2004
Springer
15 years 6 months ago
Real-Coded Bayesian Optimization Algorithm: Bringing the Strength of BOA into the Continuous World
This paper describes a continuous estimation of distribution algorithm (EDA) to solve decomposable, real-valued optimization problems quickly, accurately, and reliably. This is the...
Chang Wook Ahn, Rudrapatna S. Ramakrishna, David E...
109
Voted
ATAL
2004
Springer
15 years 6 months ago
Solving Distributed Constraint Optimization Problems Using Cooperative Mediation
Distributed Constraint Optimization Problems (DCOP) have, for a long time, been considered an important research area for multi-agent systems because a vast number of realworld si...
Roger Mailler, Victor R. Lesser