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This mapping problem has to be solved in many application scenarios. In the automotive industry, for example, the implementation of car functions involves distributed task sets running on multiple electronic control units (ECU) with bus-based inter-task co ...
A constraint satisfaction problem (e.g., a system of equations and inequalities) consists of a finite set of constraints specifying which value combinations from given variable domains are admitted. It is called numerical if its variable domains are contin ...
In recent years the electricity sector has undergone a number of changes that all point in the direction of liberalization and decentralization of control. However, a number of technological challenges have to be addressed before the desired degree of dece ...
We present in this paper a new complete method for distributed constraint optimization. This is a utility-propagation method, inspired by the sum-product algorithm (Kschischang et al 2001). The original algorithm requires fixed message sizes, linear memory ...
In this paper we explore the potential of prioritized inverse kinematics for motion capture and postural control. We have two goals in mind: reducing the number of sensors to improve the usability of such systems, and allowing interactions with the environ ...
When vehicle routing problems with additional constraints, such as capacity or time windows, are solved via column generation and branch-and-price, it is common that the pricing subproblem requires the computation of a minimum cost constrained path on a gr ...
An accurate model of the user's preferences is a crucial element of most decision support systems. It is often assumed that users have a well-defined and stable set of preferences that can be elicited through a set of questions. However, recent research ha ...
American Association for Artificial Intelligence, Menlo Park, CA 94025-3496, United States2005
We propose a framework for component-based modeling using an abstract layered model for components. A component is the superposition of two models: a behavior model and an interaction model. Interaction models describe architectural constraints induced by ...
Improving the productivity of fed-batch filamentous fungal fermentations can be formulated as a dynamic optimization problem. However, numerical optimization based on a nominal process model is typically insufficient when uncertainty in the form of model m ...
The pioneering paper by H. Schichl and A. Neumaier has founded the fundamentals of interval analysis on DAGs for global optimization, including a fundamental of constraint propagation. In this paper, we extend the constraint propagation technique for solvi ...
