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 …
A review of parallel heterogeneous computing algorithms in power systems
The power system expansion and the integration of technologies, such as renewable
generation, distributed generation, high voltage direct current, and energy storage, have …
generation, distributed generation, high voltage direct current, and energy storage, have …
[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, helping energy providers to reduce the peaks in …
decisions on their energy consumption, helping energy providers to reduce the peaks in …
Applicability of multi-agent systems and constrained reasoning for sensor-based distributed scenarios: a systematic mapping study on dynamic DCOPs
Context: At present, sensor-based systems are widely used to solve distributed problems in
changing environments where sensors are controlled by intelligent agents. On Multi-Agent …
changing environments where sensors are controlled by intelligent agents. On Multi-Agent …
Impact of demand response programs on optimal operation of multi-microgrid system
The increased penetration of renewables is beneficial for power systems but it poses several
challenges, ie, uncertainty in power supply, power quality issues, and other technical …
challenges, ie, uncertainty in power supply, power quality issues, and other technical …
Dynamic distributed constraint optimization using multi-agent reinforcement learning
M Shokoohi, M Afsharchi, H Shah-Hoseini - Soft Computing, 2022 - Springer
An inherent difficulty in dynamic distributed constraint optimization problems (dynamic
DCOP) is the uncertainty of future events when making an assignment at the current time …
DCOP) is the uncertainty of future events when making an assignment at the current time …
[PDF][PDF] New algorithms for continuous distributed constraint optimization problems
ABSTRACT Distributed Constraint Optimization Problems (DCOPs) are a powerful tool to
model multi-agent coordination problems that are distributed by nature. The formulation is …
model multi-agent coordination problems that are distributed by nature. The formulation is …
[PDF][PDF] Infinite-horizon proactive dynamic DCOPs
ABSTRACT The Distributed Constraint Optimization Problem (DCOP) formulation is a
powerful tool for modeling multi-agent coordination problems. Researchers have recently …
powerful tool for modeling multi-agent coordination problems. Researchers have recently …
A large neighboring search schema for multi-agent optimization
Abstract The Distributed Constraint Optimization Problem (DCOP) is an elegant paradigm for
modeling and solving multi-agent problems which are distributed in nature, and where …
modeling and solving multi-agent problems which are distributed in nature, and where …
Multi-objective based optimal energy management of grid-connected microgrid considering advanced demand response
HJ Kim, MK Kim - Energies, 2019 - mdpi.com
This paper proposes an optimal energy management approach for a grid-connected
microgrid (MG) by considering the demand response (DR). The multi-objective optimization …
microgrid (MG) by considering the demand response (DR). The multi-objective optimization …