Results 31 to 40 of about 8,315,593 (358)
The distributed breakout algorithms
Artificial Intelligence, 2005 AbstractWe present a new series of distributed constraint satisfaction algorithms, the distributed breakout algorithms, which is inspired by local search algorithms for solving the constraint satisfaction problem (CSP). The basic idea of these algorithms is for agents to repeatedly improve their tentative and flawed sets of assignments for variables ...
Makoto Yokoo, Katsutoshi Hirayama
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Distributed Adaptive Primal Algorithm for P2P-ETS over Unreliable Communication Links
Energies, 2018 Algorithms for distributed coordination and control are increasingly being used in smart grid applications including peer-to-peer energy trading and sharing to improve reliability and efficiency of the power system.
Olamide Jogunola +6 more
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Distributed Voltage Control in Distribution Networks with High Penetration of Photovoltaic Systems [PDF]
Journal of Operation and Automation in Power Engineering, 2020 In this paper, a distributed method for reactive power management in a distribution system has been presented. The proposed method focuses on the voltage rise where the distribution systems are equipped with a considerable number of photovoltaic units ...
H. Yousefi +2 more
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Distributed Formal Concept Analysis Algorithms Based on an Iterative MapReduce Framework [PDF]
, 2012 While many existing formal concept analysis algorithms are efficient, they are typically unsuitable for distributed implementation. Taking the MapReduce (MR) framework as our inspiration we introduce a distributed approach for performing formal concept ...
A. Berry +11 more
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A time- and message-optimal distributed algorithm for minimum spanning trees [PDF]
Symposium on the Theory of Computing, 2016 This paper presents a randomized (Las Vegas) distributed algorithm that constructs a minimum spanning tree (MST) in weighted networks with optimal (up to polylogarithmic factors) time and message complexity.
Gopal Pandurangan +2 more
semanticscholar +1 more source
Distributed greedy pursuit algorithms [PDF]
Signal Processing, 2014 For compressed sensing over arbitrarily connected networks, we consider the problem of estimating underlying sparse signals in a distributed manner. We introduce a new signal model that helps to describe inter-signal correlation among connected nodes.
Dennis Sundman +2 more
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IEEE Access, 2019 The existing continuation power flow (CPF) methods, which mainly focus on regional independent systems, are not suitable for multi-area interconnected bulk systems in the electricity market environment.
Chong Ding +5 more
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Detecting Group Anomalies in Tera-Scale Multi-Aspect Data via Dense-Subtensor Mining
Frontiers in Big Data, 2021 How can we detect fraudulent lockstep behavior in large-scale multi-aspect data (i.e., tensors)? Can we detect it when data are too large to fit in memory or even on a disk?
Kijung Shin +3 more
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Distributed algorithms for sensor networks [PDF]
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2012 Distributed algorithms are an established tool for designing protocols for sensor networks. In this paper, we discuss the relation between distributed computing theory and sensor network applications. We also present a few basic and illustrative distributed algorithms.
Lenzen Christoph, Wattenhofer Roger
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Equilibrium Analysis of Electricity Markets With Microgrids Based on Distributed Algorithm
IEEE Access, 2019 Microgrid is an effective way to accommodate distributed renewable energy, and there is a need for microgrids to participate in electricity market competition to ensure its sustainable development.
Xian Wang +4 more
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