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 …
Pretrained cost model for distributed constraint optimization problems
Abstract Distributed Constraint Optimization Problems (DCOPs) are an important subclass of
combinatorial optimization problems, where information and controls are distributed among …
combinatorial optimization problems, where information and controls are distributed among …
[PDF][PDF] Speeding up incomplete GDL-based algorithms for multi-agent optimization with dense local utilities
Incomplete GDL-based algorithms including Maxsum and its variants are important methods
for multi-agent optimization. However, they face a significant scalability challenge as the …
for multi-agent optimization. However, they face a significant scalability challenge as the …
Inference-based complete algorithms for asymmetric distributed constraint optimization problems
Asymmetric distributed constraint optimization problems (ADCOPs) are an important
framework for multiagent coordination and optimization, where each agent has its personal …
framework for multiagent coordination and optimization, where each agent has its personal …
A hybrid tree-based algorithm to solve asymmetric distributed constraint optimization problems
Asymmetric distributed constraint optimization problems (ADCOPs) have emerged as an
important formalism in multi-agent community due to their ability to capture personal …
important formalism in multi-agent community due to their ability to capture personal …
[PDF][PDF] Neural Regret-Matching for Distributed Constraint Optimization Problems.
Distributed constraint optimization problems (DCOPs) are a powerful model for multi-agent
coordination and optimization, where information and controls are distributed among …
coordination and optimization, where information and controls are distributed among …
PT-ISABB: A hybrid tree-based complete algorithm to solve asymmetric distributed constraint optimization problems
Asymmetric Distributed Constraint Optimization Problems (ADCOPs) have emerged as an
important formalism in multi-agent community due to their ability to capture personal …
important formalism in multi-agent community due to their ability to capture personal …
Utility distribution matters: Enabling fast belief propagation for multi-agent optimization with dense local utility function
Belief propagation algorithms including Max-sum and its variants are important methods for
multi-agent optimization. However, they face a significant scalability challenge as the …
multi-agent optimization. However, they face a significant scalability challenge as the …
AsymDPOP: complete inference for asymmetric distributed constraint optimization problems
Asymmetric distributed constraint optimization problems (ADCOPs) are an emerging model
for coordinating agents with personal preferences. However, the existing inference-based …
for coordinating agents with personal preferences. However, the existing inference-based …