Dear Editor, The distributed constraint optimization problems (DCOPs)[1]–[3] provide an
efficient model for solving the cooperative problems of multiagent systems, which has been …

In this paper we put forward a novel extension of the classic Max-Sum algorithm to the
framework of Continuous Distributed Constrained Optimization Problems (Continuous …

Some of the most challenging multi agent applications involve teams of mobile sensing
agents that are required to acquire information in a given area. Examples for such …

Coordinating multiple agents to optimize an objective has several real-world applications. In
areas such as disaster rescue, environment monitoring and the like, mobile agents may be …

Functional Distributed Constraint Optimization Problems (F-DCOPs) are a constraint
processing framework for continuous variables in the multi-agent system. Particle swarm …

Recent advances in technology have large teams of robots with limited computation skills
work together in order to achieve a common goal. Their personal actions need to contribute …

Abstract The Distributed Constraint Optimization Problem (DCOP) formulation is a powerful
tool to model multi-agent coordination problems that are distributed by nature. While DCOPs …

In multi-agent systems, the Dynamic Distributed Constraint Optimisation Problem (D-DCOP)
framework is pivotal, allowing for the decomposition of global objectives into agent …

Distributed Constraint Optimization Problems (DCOPs) are an efficient framework widely
used in multi-agent collaborative modeling. The traditional DCOP framework assumes that …

针对连续型分布式约束优化问题(continuous distributed constraint optimization problems, C-
DCOPs) 求解算法的anytime 属性的缺失, 约束函数形式的限制和无法保证收敛等局限 …