A simulation-based multi-agent particle swarm optimization approach for supporting dynamic decision making in marine oil spill responses
How to improve marine oil spill response efficiency to minimize environmental and
socioeconomic impacts has been recognized as a growing, critical need worldwide in both …
socioeconomic impacts has been recognized as a growing, critical need worldwide in both …
Decentralized, decomposition-based observation scheduling for a large-scale satellite constellation
Deploying multi-satellite constellations for Earth observation requires coordinating
potentially hundreds of spacecraft. With increasing onboard capability for autonomy, we can …
potentially hundreds of spacecraft. With increasing onboard capability for autonomy, we can …
[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 …
[HTML][HTML] Evoplex: A platform for agent-based modeling on networks
Agent-based modeling and network science have been used extensively to advance our
understanding of emergent collective behavior in systems that are composed of a large …
understanding of emergent collective behavior in systems that are composed of a large …
AED: An anytime evolutionary DCOP algorithm
Evolutionary optimization is a generic population-based metaheuristic that can be adapted
to solve a wide variety of optimization problems and has proven very effective for …
to solve a wide variety of optimization problems and has proven very effective for …
Dynamic continuous distributed constraint optimization problems
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 …
tool to model multi-agent coordination problems that are distributed by nature. While DCOPs …
Resilient distributed constraint optimization in physical multi-agent systems
We model the notion of k-resilient distribution of computation graphs supporting agent
decisions, over dynamic physical multi-agent systems (eg IoT systems). We devise a self …
decisions, over dynamic physical multi-agent systems (eg IoT systems). We devise a self …
Resilient distributed constraint reasoning to autonomously configure and adapt IoT environments
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 …
IoT-based smart environment settings, like smart home scenarios. We particularly make use …
A Population-Based Search Approach to Solve Continuous Distributed Constraint Optimization Problems
X Liao, KD Hoang - Applied Sciences, 2024 - mdpi.com
Distributed Constraint Optimization Problems (DCOPs) are an efficient framework widely
used in multi-agent collaborative modeling. The traditional DCOP framework assumes that …
used in multi-agent collaborative modeling. The traditional DCOP framework assumes that …
Learning optimal temperature region for solving mixed integer functional DCOPs
Distributed Constraint Optimization Problems (DCOPs) are an important framework for
modeling coordinated decision-making problems in multi-agent systems with a set of …
modeling coordinated decision-making problems in multi-agent systems with a set of …