AI buzzwords explained: distributed constraint optimization problems

The power network is the largest operating machine on earth, generating more than US$400bn a year1 keeping the lights on for our homes, offices, and factories. A significant concern in power networks is for the energy providers to be able to generate enough power to supply the demands at any point in time. Short terms demand peaks are however hard to predict and, thus, in the modern smart electricity grid, the energy providers can exploit the demand-side flexibility of the consumers to reduce the peaks in load demand.

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[39]  Subhrabrata Choudhury,et al.  A Multi-agent Based Optimised Server Selection Scheme for SOC in Pervasive Environment , 2014, PAAMS.

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[45]  Huaimin Wang,et al.  MABP: an optimal resource allocation approach in data center networks , 2014, Science China Information Sciences.

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[47]  Makoto Yokoo,et al.  Proactive Dynamic Distributed Constraint Optimization , 2016, AAMAS.

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[50]  Boi Faltings,et al.  Superstabilizing, Fault-Containing Distributed Combinatorial Optimization , 2005, AAAI.

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[53]  Nicholas R. Jennings,et al.  U-GDL: A decentralised algorithm for DCOPs with Uncertainty , 2011 .

[54]  Sven Koenig,et al.  Trading Off Solution Quality for Faster Computation in DCOP Search Algorithms , 2009, IJCAI.

[55]  Boi Faltings,et al.  Protecting Privacy through Distributed Computation in Multi-agent Decision Making , 2013, J. Artif. Intell. Res..

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