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Distributed constraint optimization problems and applications: A survey
The field of multi-agent system (MAS) is an active area of research within artificial
intelligence, with an increasingly important impact in industrial and other real-world …
intelligence, with an increasingly important impact in industrial and other real-world …
Distributed constraint optimization problems: Review and perspectives
AR Leite, F Enembreck, JPA Barthes - Expert Systems with Applications, 2014 - Elsevier
Intelligent agents is a research area of the Artificial Intelligence intensely studied since the
1980s. Multi-agent systems represent a powerful paradigm of analyzing, projecting, and …
1980s. Multi-agent systems represent a powerful paradigm of analyzing, projecting, and …
[PDF][PDF] A Multiagent System Approach to Scheduling Devices in Smart Homes.
Demand-side management (DSM) in the smart grid allows customers to make autonomous
decisions on their energy consumption, hel** energy providers to reduce the peaks in …
decisions on their energy consumption, hel** energy providers to reduce the peaks in …
A review of literature on parallel constraint solving
As multi-core computing is now standard, it seems irresponsible for constraints researchers
to ignore the implications of it. Researchers need to address a number of issues to exploit …
to ignore the implications of it. Researchers need to address a number of issues to exploit …
[PDF][PDF] Autonomous Agents and Multiagent Systems Challenges in Earth Observation Satellite Constellations
We identify several challenges and opportunities opened to agent and multiagent systems,
following the recent developments in the domain of Earth observation constellations. We …
following the recent developments in the domain of Earth observation constellations. We …
Collaborative privacy preserving multi-agent planning: Planners and heuristics
In many cases several entities, such as commercial companies, need to work together
towards the achievement of joint goals, while hiding certain private information. To …
towards the achievement of joint goals, while hiding certain private information. To …
P-SyncBB: A privacy preserving branch and bound DCOP algorithm
Distributed constraint optimization problems enable the representation of many
combinatorial problems that are distributed by nature. An important motivation for such …
combinatorial problems that are distributed by nature. An important motivation for such …
PC-SyncBB: A privacy preserving collusion secure DCOP algorithm
In recent years, several studies proposed privacy-preserving algorithms for solving
Distributed Constraint Optimization Problems (DCOPs). Those studies were based on …
Distributed Constraint Optimization Problems (DCOPs). Those studies were based on …
[HTML][HTML] Forward bounding on pseudo-trees for DCOPs and ADCOPs
O Litov, A Meisels - Artificial Intelligence, 2017 - Elsevier
Complete search algorithms for solving Distributed constraint optimization problems
(DCOPs) can be divided into two groups: algorithms that use a pseudo tree and algorithms …
(DCOPs) can be divided into two groups: algorithms that use a pseudo tree and algorithms …
Distributed task allocation in multi-agent environments using cellular learning automata
M Khani, A Ahmadi, H Hajary - Soft computing, 2019 - Springer
People's safety is threatened by the repetition of critical events. Many people lose their lives
due to unprofessional rescue operation as well as time pressure of the rescue operation. A …
due to unprofessional rescue operation as well as time pressure of the rescue operation. A …