Taking DCOP to the real world: Efficient complete solutions for distributed event scheduling
R Maheswaran, M Tambe, E Bowring, J Pearce… - 2004 - ink.library.smu.edu.sg
… the two challenges to DCOP raised above. We … DCOP and prove the congruency and
optimality of our formulations. When all constraints involve only two agents, we can model DCOP …
optimality of our formulations. When all constraints involve only two agents, we can model DCOP …
[PDF][PDF] Distributed Algorithms for DCOP: A Graphical-Game-Based Approach.
RT Maheswaran, JP Pearce, M Tambe - PDCS, 2004 - Citeseer
… model of the DCOP framework. In Section 3, we introduce a decomposition of the DCOP into
a … We prove that the optimal solution of the DCOP is a Nash equilibrium in an appropriate …
a … We prove that the optimal solution of the DCOP is a Nash equilibrium in an appropriate …
[PDF][PDF] Evaluating the performance of DCOP algorithms in a real world, dynamic problem
R Junges, ALC Bazzan - Proceedings of the 7th international joint …, 2008 - ifaamas.org
… problems modelled as distributed constraint optimization (DCOP). However, there are only
few … In the present work we compare three complete algorithms for DCOP, aiming at studying …
few … In the present work we compare three complete algorithms for DCOP, aiming at studying …
BnB-ADOPT: An asynchronous branch-and-bound DCOP algorithm
… DCOP problem is a problem where several agents coordinate their values such that the sum
of the resulting constraint costs is minimal. It is often desirable to solve DCOP … DCOP search …
of the resulting constraint costs is minimal. It is often desirable to solve DCOP … DCOP search …
[PDF][PDF] Using Message-Passing DCOP Algorithms to Solve Energy-Efficient Smart Environment Configuration Problems.
We consider environments in which smart devices equipped with limited communication
and computation capabilities have to cooperate to selfconfigure their state in an energy-efficient …
and computation capabilities have to cooperate to selfconfigure their state in an energy-efficient …
[PDF][PDF] A distributed constraint optimization (DCOP) approach to the economic dispatch with demand response
With the growing complexity of the current power grid, there is an increasing need for
intelligent operations coordinating energy supply and demand. A key feature of the smart grid …
intelligent operations coordinating energy supply and demand. A key feature of the smart grid …
Incremental DCOP search algorithms for solving dynamic DCOP problems
W Yeoh, P Varakantham, X Sun… - 2015 IEEE/WIC/ACM …, 2015 - ieeexplore.ieee.org
… DCOP. In this paper, we investigate how to maximize the amount of information reuse by
DCOP … -space DCOP search algorithms to reuse information gained from solving the previous …
DCOP … -space DCOP search algorithms to reuse information gained from solving the previous …
Preprocessing techniques for accelerating the DCOP algorithm ADOPT
… Optimization Problems (DCOP) have emerged as key … DCOP algorithm. We investigate
when preprocessing is useful and which factors influence the resulting speedups in two DCOP …
when preprocessing is useful and which factors influence the resulting speedups in two DCOP …
Dcop for smart homes: A case study
… DCOP-based approach by describing a case study taken from the RoboCare project. More
specifically, we show how (1) DCOP … from other algorithms for DCOP represent a strong asset …
specifically, we show how (1) DCOP … from other algorithms for DCOP represent a strong asset …
Distributed Gibbs: A linear-space sampling-based DCOP algorithm
… One can transform a general DCOP to our restricted DCOP using pre-processing … graph
visualizes a DCOP instance, where nodes in the graph correspond to variables in the DCOP and …
visualizes a DCOP instance, where nodes in the graph correspond to variables in the DCOP and …