Research on the Interaction Mode between Resource Aggregation Subject and Upper Platform Based on Intelligent Algorithm

This paper proposes a resource aggregation framework based on multi-agent system. In this framework, the resource aggregation subject interacts with the upper platform through intelligent algorithm to achieve efficient scheduling and optimal configuration of resources. This paper discusses the design and resource aggregation mechanism of multi-agent system in detail, constructs the interaction mode between resource aggregation subject and upper platform, and emphasizes the data flow and decision-making process in the interaction. In order to verify the effectiveness of the proposed method, an intelligent algorithm model was designed and a variety of simulation experiments were carried out. The simulation results show that the system has significantly improved resource scheduling and utilization, and can effectively deal with resource configuration problems in complex environments. Through precise data analysis, this paper further discusses the performance advantages and application prospects of the algorithm, especially its adaptability and scalability in different scenarios. This study provides an innovative solution for resource aggregation and platform interaction in multi-agent system, which has wide application value.

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Publication Details

Published
2025-01-10
DOI
https://doi.org/10.1109/citsc64390.2025.00075
Primary Topic
AI and Multimedia in Education
Type
article
Field-Weighted Citation Impact
0.00

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article

Research on the Interaction Mode between Resource Aggregation Subject and Upper Platform Based on Intelligent Algorithm

Hanbing Zhang, Ning Ding, Feng Hua, Xu Yonghai et al.
AI and Multimedia in Education
article

Research on the Interaction Mode between Resource Aggregation Subject and Upper Platform Based on Intelligent Algorithm

Hanbing Zhang, Ning Ding, Feng Hua, Xu Yonghai, Ye Jichao
article en

Abstract

This paper proposes a resource aggregation framework based on multi-agent system. In this framework, the resource aggregation subject interacts with the upper platform through intelligent algorithm to achieve efficient scheduling and optimal configuration of resources. This paper discusses the design and resource aggregation mechanism of multi-agent system in detail, constructs the interaction mode between resource aggregation subject and upper platform, and emphasizes the data flow and decision-making process in the interaction. In order to verify the effectiveness of the proposed method, an intelligent algorithm model was designed and a variety of simulation experiments were carried out. The simulation results show that the system has significantly improved resource scheduling and utilization, and can effectively deal with resource configuration problems in complex environments. Through precise data analysis, this paper further discusses the performance advantages and application prospects of the algorithm, especially its adaptability and scalability in different scenarios. This study provides an innovative solution for resource aggregation and platform interaction in multi-agent system, which has wide application value.

Shanghai Electric (China) (CN)
State Grid Zhejiang Electric Power Company
Openalex Percentile: Top 97%
AI and Multimedia in Education
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Research on the Interaction Mode between Resource Aggregation Subject and Upper Platform Based on Intelligent Algorithm — Hanbing Zhang, Ning Ding, et al. · (2025) | TGRS Research Map | TGRS