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  • Search: subject:"Distributed optimisation"
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Year of publication
Subject
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distributed optimisation 3 Distributed optimisation 2 Game theory 2 learning in games 2 Algorithm 1 Algorithmus 1 Coal 1 E-Learning 1 E-learning 1 Energieprognose 1 Energy forecast 1 Energy forecasting 1 Forecasting model 1 Kohle 1 Lagrangian relaxation 1 Learning process 1 Lernprozess 1 Lieferkette 1 Logistics 1 Logistik 1 Mathematical programming 1 Mathematische Optimierung 1 Multivariate time series 1 Online learning 1 Prognoseverfahren 1 Scheduling problem 1 Scheduling-Verfahren 1 Supply chain 1 Supply-chain 1 Theorie 1 Theory 1 Time series analysis 1 Wedelin algorithm 1 Wind energy 1 Wind turbine 1 Windenergie 1 Windenergieanlage 1 Zeitreihenanalyse 1 coal logistics 1 integrated scheduling 1
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Online availability
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Free 2 Undetermined 2
Type of publication
All
Article 3 Book / Working Paper 2
Type of publication (narrower categories)
All
Article in journal 2 Aufsatz in Zeitschrift 2
Language
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Undetermined 3 English 2
Author
All
Chapman, Archie C. 2 Jennings, Nicholas R. 2 Leslie, David S. 2 Rogers, Alex 2 Ghirardi, Marco 1 Krishnamoorthy, Mohan 1 Menga, Giuseppe 1 Messner, Jakob W. 1 Obst, David 1 Pinson, Pierre 1 Sacco, Nicola 1 Singh, Gaurav 1 Sommer, Benedikt 1 Thomas, Anu 1 Venkateswaran, Jayendran 1
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Institution
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Business School, University of Sydney 2
Published in...
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Working Papers / Business School, University of Sydney 2 International journal of forecasting 1 International journal of production research 1 Mathematics and Computers in Simulation (MATCOM) 1
Source
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RePEc 3 ECONIS (ZBW) 2
Showing 1 - 5 of 5
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Online distributed learning in wind power forecasting
Sommer, Benedikt; Pinson, Pierre; Messner, Jakob W.; … - In: International journal of forecasting 37 (2021) 1, pp. 205-223
Persistent link: https://www.econbiz.de/10012692694
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Convergent learning algorithms for potential games with unknown noisy rewards
Chapman, Archie C.; Jennings, Nicholas R.; Leslie, David S. - Business School, University of Sydney - 2011
representations naturally occurs in many distributed optimisation and control applications. Finally, we demonstrate the efficacy of …
Persistent link: https://www.econbiz.de/10010857365
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Cover Image
Convergent learning algorithms for potential games with unknown noisy rewards
Chapman, Archie C.; Leslie, David S.; Rogers, Alex; … - Business School, University of Sydney - 2011
representations naturally occurs in many distributed optimisation and control applications. Finally, we demonstrate the efficacy of …
Persistent link: https://www.econbiz.de/10010533717
Saved in:
Cover Image
Distributed optimisation method for multi-resource constrained scheduling in coal supply chains
Thomas, Anu; Singh, Gaurav; Krishnamoorthy, Mohan; … - In: International journal of production research 51 (2013) 9, pp. 2740-2759
Persistent link: https://www.econbiz.de/10009736387
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An optimisation-oriented model of distributed supply-chain
Ghirardi, Marco; Menga, Giuseppe; Sacco, Nicola - In: Mathematics and Computers in Simulation (MATCOM) 79 (2008) 4, pp. 937-946
In this paper, a suitable model of distributed supply-chains (DSCs) is presented with the aim of providing a tool for DSC decentralised optimisation. To cope with this challenge, in the first part of the paper, a general model for distributed supply-chain including suppliers, processing units,...
Persistent link: https://www.econbiz.de/10010749463
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