Distributed Constraint Optimization Problems (DCOPs) are a powerful framework to model
cooperative multi-agent systems wherein multiple agents communicate directly or indirectly …

针对现有的基于蚁群优化思想求解分布式约束优化问题的算法收敛较慢, 容易陷入局部最优等
问题, 提出了一种基于多种群的随机扰动蚁群算法(randomdisturbancebasedmulti …

In this article, we investigate multi-agent techniques to install autonomy and adaptation in
IoT-based smart environment settings, like smart home scenarios. We particularly make use …

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

Causal structure discovery from observational data is fundamental to the causal
understanding of autonomous systems such as medical decision support systems …

Abstract Distributed Constraint Optimization Problems (DCOPs) are a widely studied
framework for coordinating interactions in cooperative multi-agent systems. In classical …

Distributed Constraint Optimization Problems (DCOPs) are a widely studied class of
optimization problems in which interaction between a set of cooperative agents are modeled …

Abstract A Multi-Agent Path Finding (MAPF) problem involves the task of finding paths for
multiple agents who want to reach their destinations without obstructing other agents …

The Cognitive Agents and Interaction Lab (CAIL) at the University of Dhaka has strategically
developed a focused High-Performance Computing (HPC) facility, underpinning its niche in …

Radio access technology (RAT) in 5G is a versatile and complex wireless communication
system. Requirements of this technology include providing high throughput, assuring low …