- A Distributed Constraint Optimization Approach for Coordination ...🔍
- A class of algorithms for distributed constraint optimization🔍
- Using Learning Automata to Solve Dynamic Distributed Constraint ...🔍
- Discrepancy|Based Approach for Solving Distributed Constraint ...🔍
- New Algorithms for Functional Distributed Constraint Optimization ...🔍
- A unifying framework for iterative approximate best|response ...🔍
- Applying Soft Arc Consistency to Distributed Constraint Optimization ...🔍
- Distributed Constraint Programming🔍
Distributed Constraint Optimization Problems and Applications
A Distributed Constraint Optimization Approach for Coordination ...
creasing number of application domains and focus on DCOP techniques. Recent applications of DCOP to real-world problems include sensor networks[Modi et al.
A class of algorithms for distributed constraint optimization
Addresses three major issues that arise in Distributed Constraint Optimization Problems (DCOP): efficient optimization algorithms, dynamic and open ...
Using Learning Automata to Solve Dynamic Distributed Constraint ...
Distributed Constraint Optimization Problems (DDCOPs) and are computationally ... However, in many applications, information on how the problem ...
Discrepancy-Based Approach for Solving Distributed Constraint ...
Distributed Constraint Optimization Problems ... problem. In Proceedings ... and distributed breakout: Properties, comparison and applications to constraint.
New Algorithms for Functional Distributed Constraint Optimization ...
The Distributed Constraint Optimization Problem (DCOP) formulation is a powerful tool to model multi-agent coordination problems that are distributed by ...
A unifying framework for iterative approximate best-response ...
Distributed constraint optimization problems (DCOPs) are important in many areas of computer science and optimization. In a DCOP, each variable is ...
Applying Soft Arc Consistency to Distributed Constraint Optimization ...
The Distributed Constraint Optimization Problem (DCOP) is a fundamental framework of multi-agent systems. With DCOPs a multi-agent system is represented as ...
Distributed Constraint Programming
Such problems can of course be solved by gathering all constraints and optimization criteria into a single large CSP, and then solving this problem using a ...
pyDCOP: DCOP solver in python — pydcop 0.1.2a1 documentation
A Distributed Constraints Optimization Problems is traditionally represented as a tuple ⟨A,X,D,C,μ⟩ , where: A={a1,…
A local cost simulation-based algorithm to solve distributed ... - PeerJ
As an important incomplete algorithm for solving Distributed Constraint Optimization. Problems (DCOPs), local search algorithms exhibit the ...
Recent Advances in Dynamic, Distributed Constraint Optimization
a few decades and deals with constraint reasoning problems and their applications in real-life problems. The main issue in solving constraint problems is ...
Latency-Aware 2-Opt Monotonic Local Search for Distributed ...
Researchers recently extended Distributed Constraint Optimization Problems (DCOPs) to. Communication-Aware DCOPs so that they are applicable in scenarios in ...
An Asynchronous Complete Method for General Distributed ...
networks[8] are some examples of multi-agent applications where the global effect of ... A Distributed Constraint Optimization Problem (DCOP) consists of n ...
Robust Solutions for Distributed Constraint Optimization Problems
We developed new DCOP algorithms for continuous variables. Some variants of these algorithms also provide theoretical guarantees on the ...
Asymmetric Distributed Constraint Optimization Problems - ProQuest
Distributed Constraint Optimization (DCOP) is a powerful framework for representing and solving distributed combinatorial problems, where the variables of ...
Solving Highly Cyclic Distributed Optimization Problems Without ...
Yeoh. Distributed constraint optimization problems and applications: A survey. CoRR, abs/1602.06347, 2016. [5] T. Grinshpoun and T ...
Distributed Constraint Optimization for the Internet-of-Things (DCOP ...
Multi-agent systems are a suitable paradigm to model and develop applications and infrastructure to implement such IoT environments. Within the multi-agent ...
Design of a Demand Responsive Transport service using ...
Solving the Distributed Constraint Optimization Problem,” 2013 Second. IIAI International Conference on Advanced Applied Informatics, 2013, pp.
Proactive Agent Behaviour in Dynamic Distributed Constraint ... - MDPI
In multi-agent systems, the Dynamic Distributed Constraint Optimisation Problem (D-DCOP) framework is pivotal, allowing for the ...
A Class of Algorithms for Distributed Constraint Optimization
A Class of Algorithms for Distributed Constraint Optimization addresses three major issues that arise in DCOP: efficient optimization algorithms, dynamic and ...