Sciweavers

COR
2010
155views more  COR 2010»
13 years 4 months ago
A memetic algorithm for the multi-compartment vehicle routing problem with stochastic demands
The Multi-Compartment Vehicle Routing Problem (MC-VRP) consists of designing transportation routes to satisfy the demands of a set of costumers for several products that because o...
Jorge E. Mendoza, Bruno Castanier, Christelle Gu&e...
BMCBI
2007
157views more  BMCBI 2007»
13 years 4 months ago
A hybrid multiscale Monte Carlo algorithm (HyMSMC) to cope with disparity in time scales and species populations in intracellula
Background: The fundamental role that intrinsic stochasticity plays in cellular functions has been shown via numerous computational and experimental studies. In the face of such e...
Asawari Samant, Babatunde A. Ogunnaike, Dionisios ...
AUTOMATICA
2007
145views more  AUTOMATICA 2007»
13 years 4 months ago
Decentralized adaptive output-feedback stabilization for large-scale stochastic nonlinear systems
In this paper, the problem of decentralized adaptive output-feedback stabilization is investigated for large-scale stochastic nonlinear systems with three types of uncertainties, ...
Shu-Jun Liu, Ji-Feng Zhang, Zhong-Ping Jiang
APAL
2008
88views more  APAL 2008»
13 years 4 months ago
Stochastic coalgebraic logic: Bisimilarity and behavioral equivalence
Bisimulations, behavioral equivalence and logical equivalence are investigated for stochastic T-coalgebras that interpret coalgebraic logic which is defined in terms of predicate ...
Ernst-Erich Doberkat
WCE
2007
13 years 5 months ago
Scenario Generation Employing Copulas
—Multistage stochastic programs are effective for solving long-term planning problems under uncertainty. Such programs are usually based on scenario generation model about future...
Kristina Sutiene, Henrikas Pranevicius
AAAI
1997
13 years 5 months ago
Effective Bayesian Inference for Stochastic Programs
In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...
Daphne Koller, David A. McAllester, Avi Pfeffer
ASC
2000
13 years 5 months ago
A New Object-Oriented Stochastic Modeling Language
A new language and inference algorithm for stochastic modeling is presented. This work refines and generalizes the stochastic functional language originally proposed by [1]. The l...
Daniel Pless, George F. Luger, Carl R. Stern
ICINCO
2004
127views Robotics» more  ICINCO 2004»
13 years 5 months ago
Moment-Linear Stochastic Systems
: We introduce a class of quasi-linear models for stochastic dynamics, called moment-linear stochastic systems (MLSS). We formulate MLSS and analyze their dynamics, as well as disc...
Sandip Roy, George C. Verghese, Bernard C. Lesieut...
CLIMA
2004
13 years 5 months ago
The Apriori Stochastic Dependency Detection (ASDD) Algorithm for Learning Stochastic Logic Rules
Apriori Stochastic Dependency Detection (ASDD) is an algorithm for fast induction of stochastic logic rules from a database of observations made by an agent situated in an environm...
Christopher Child, Kostas Stathis
APPROX
2010
Springer
188views Algorithms» more  APPROX 2010»
13 years 5 months ago
Approximation Algorithms for Reliable Stochastic Combinatorial Optimization
We consider optimization problems that can be formulated as minimizing the cost of a feasible solution wT x over an arbitrary combinatorial feasible set F {0, 1}n . For these pro...
Evdokia Nikolova