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» Some Interval Approximation Techniques for MINLP
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SARA
2009
Springer
13 years 11 months ago
Some Interval Approximation Techniques for MINLP
MINLP problems are hard constrained optimization problems, with nonlinear constraints and mixed discrete continuous variables. They can be solved using a Branch-and-Bound scheme c...
Nicolas Berger, Laurent Granvilliers
COMPGEOM
1999
ACM
13 years 8 months ago
Interval Methods for Kinetic Simulations
We propose a speed-up method for discrete-event simulations, including sweep-line or -plane techniques, requiring the repeated calculation of the times at which certain discrete e...
Leonidas J. Guibas, Menelaos I. Karavelas
CDC
2010
IEEE
151views Control Systems» more  CDC 2010»
12 years 11 months ago
Convergence of discrete-time approximations of constrained linear-quadratic optimal control problems
Abstract-- Continuous-time linear constrained optimal control problems are in practice often solved using discretization techniques, e.g. in model predictive control (MPC). This re...
Lanshan Han, M. Kanat Camlibel, Jong-Shi Pang, W. ...
CP
2005
Springer
13 years 10 months ago
Mind the Gaps: A New Splitting Strategy for Consistency Techniques
Classical methods for solving numerical CSPs are based on a branch and prune algorithm, a dichotomic enumeration process interleaved with a consistency filtering algorithm. In man...
Heikel Batnini, Claude Michel, Michel Rueher
AAAI
2000
13 years 5 months ago
Towards Feasible Approach to Plan Checking under Probabilistic Uncertainty: Interval Methods
The main problem of planning is to find a sequence of actions that an agent must perform to achieve a given objective. An important part of planning is checking whether a given pl...
Raul Trejo, Vladik Kreinovich, Chitta Baral