.png){kind=icon}
返回
Distributed Event-Triggered Algorithms for Multi-Objective Resource Allocation Problem
.png){kind=icon}
PRE
AI
DOI：10.1142/S2301385024410140.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper considers a multi-objective resource allocation problem for a multi-agent network where each agent has multiple local objective functions. The goal is to obtain the Pareto optimum by exchanging information between agents. To this end, first, we introduce the weighted L-p preference index to reformulate this problem into a single-objective resource allocation problem, in which the weighting factor of each objective depends on its relative importance. Moreover, in order to reduce the communication burden, we propose distributed event-triggered algorithms to solve the reformulated problem. When local objective functions are strongly convex and have Lipschitz gradients, we prove that the proposed algorithms are free of Zeno behavior and achieve exponential convergence. Finally, we demonstrate the effectiveness of the proposed algorithms by a microgrid network example.
Keyword:
Event-triggered
multi-agent network
multi-objective resource allocation
Zeno behavior
期刊
IF:
2.4
论文数:
302
被引数:
705
机构
引用论文
分享收藏分享收藏
Fixed-Time Event-Triggered Output Consensus Tracking of High-Order Multiagent Systems Under Directed Interaction Graphs有向交互图下高阶多智能体系统的固定时间事件触发输出一致性跟踪
PREAI
分享收藏
Distributed Continuous-Time Algorithms for Resource Allocation Problems Over Weight-Balanced Digraphs权重平衡有向图上资源分配问题的分布式连续时间算法
PREAI
分享收藏Multi-objective optimization of a hybrid distributed energy system using NSGA-II algorithm基于nsga-ii算法的混合分布式能源系统多目标优化.png)
FRONTIERS IN ENERGY
FRONTIERS IN ENERGYIF6.2
PREAI
分享收藏
查看更多内容