Results 231 to 240 of about 233,364 (265)
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A distributional interpretation of robust optimization
2010 48th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2010Motivated by data-driven decision making and sampling problems, we investigate probabilistic interpretations of robust optimization (RO). We establish a connection between RO and distributionally robust stochastic programming (DRSP), showing that the solution to any RO problem is also a solution to a DRSP problem.
Huan Xu 0001 +2 more
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Designing Games for Distributed Optimization
IEEE Journal of Selected Topics in Signal Processing, 2011The central goal in multiagent systems is to design local control laws for the individual agents to ensure that the emergent global behavior is desirable with respect to a given system level objective. Ideally, a system designer seeks to satisfy this goal while conditioning each agent's control law on the least amount of information possible ...
Li, Na, Marden, Jason R.
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Approximations in Distributed Optimization
2005We present a parameterized approximation scheme for distributed combinatorial optimization problems based on dynamic programming. The algorithm is a utility propagation method and requires a linear number of messages. For exact computation, the size of the largest message is exponential in the width of the constraint graph.
Adrian Petcu, Boi Faltings
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Optimal Control of Distributions
Computational Mathematics and Modeling, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Transition-optimal Token Distribution
Fundamenta Informaticae, 1997There is given a graph, that models a communication network of a multiprocessor system, and there are tokens (jobs) allocated to nodes of the graph. The task is to distribute the tokens evenly, subject to the constraint that they may be moved only along the edges of the graph.
Bogdan S. Chlebus +2 more
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Toward Optimally Distributed Computation
Neural Computation, 1998This article introduces the concept of optimally distributed computation in feedforward neural networks via regularization of weight saliency. By constraining the relative importance of the parameters, computation can be distributed thinly and evenly throughout the network.
Peter J. Edwards, Alan F. Murray
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Distributed coordination in optimization algorithms
1997In this paper we present a parallel algorithm for the solution of discrete optimization problems, which is a typical example of highly irregularly structured problems.
DI MARTINO B. +3 more
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Optimal Distributed Arc-Consistency
Constraints, 1999zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Optimal Distributed Generation placement in distribution network
2014 IEEE International Energy Conference (ENERGYCON), 2014Abstract— this paper presents a method for optimal Distributed Generation placement with goal of reducing active power system losses and voltage level regulation. Active power losses in radial distribution network are determined using an Artificial Neural Network (ANN) by simultaneous formulation for the determination process based on voltage level ...
Vukobratović, Marko +2 more
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On the optimality of localized distributed controllers
Proceedings of the 2005, American Control Conference, 2005., 2005Design of optimal distributed controllers with a priori assigned localisation constraints is a difficult problem. Alternatively, one can ask the following question: given a localised distributed exponentially stabilising controller, is it inversely optimal with respect to some cost functional?
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