Distributed constraint optimization problems and applications: A survey

F Fioretto, E Pontelli, W Yeoh - Journal of Artificial Intelligence Research, 2018 - jair.org
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 …

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 …

[PDF][PDF] A Multiagent System Approach to Scheduling Devices in Smart Homes.

F Fioretto, W Yeoh, E Pontelli - AAMAS, 2017 - cdn.aaai.org
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 …

A review of literature on parallel constraint solving

IP Gent, I Miguel, P Nightingale… - Theory and Practice of …, 2018 - cambridge.org
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 …

[PDF][PDF] Autonomous Agents and Multiagent Systems Challenges in Earth Observation Satellite Constellations

G Picard, C Caron, JL Farges, J Guerra, C Pralet… - 2021 - aamas.csc.liv.ac.uk
We identify several challenges and opportunities opened to agent and multiagent systems,
following the recent developments in the domain of Earth observation constellations. We …

Collaborative privacy preserving multi-agent planning: Planners and heuristics

S Maliah, G Shani, R Stern - Autonomous agents and multi-agent systems, 2017 - Springer
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 …

P-SyncBB: A privacy preserving branch and bound DCOP algorithm

T Grinshpoun, T Tassa - Journal of Artificial Intelligence Research, 2016 - jair.org
Distributed constraint optimization problems enable the representation of many
combinatorial problems that are distributed by nature. An important motivation for such …

PC-SyncBB: A privacy preserving collusion secure DCOP algorithm

T Tassa, T Grinshpoun, A Yanai - Artificial Intelligence, 2021 - Elsevier
In recent years, several studies proposed privacy-preserving algorithms for solving
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 …

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 …