计算机与现代化Issue(12)：11-18,25,9.DOI:10.3969/j.issn.1006-2475.2025.12.002
面向动态需求的多智能体资源自适应分配算法
Resource Adaptive Allocation Algorithm for Multi-agent with Dynamic Demands
摘要
Abstract
To address the low adaptability of existing resource allocation algorithms for multi-agent systems in dynamic environ-ments and their lack of fairness in resource distribution,this paper proposes a resource adaptive allocation algorithm for multi-agent systems oriented to dynamic demands.The proposed algorithm enhances resource utilization and fairness while optimizing allocation efficiency and system load balancing.A resource adaptive allocation model is constructed by incorporating the heteroge-neity of resources and the dynamic nature of task demands in multi-agent systems.Through multi-stage optimization,the algo-rithm improves adaptability to dynamic environments and employs multi-objective optimization to balance resource allocation fairness and utilization.First,a fairness-based allocation strategy is used to select the set of tasks to be assigned.Then,inspired by swarm intelligence optimization,a Decentralized Search and Competitive Optimization(DSACO)algorithm is introduced to it-eratively determine resource allocation schemes through multi-stage resource distribution and optimization.Finally,tasks are au-tomatically assigned to corresponding agents based on the determined allocation schemes.Comparative simulation results demon-strate that,compared to existing algorithms,the proposed algorithm achieves not only fair resource allocation but also improves resource utilization and allocation efficiency.It exhibits strong adaptability to dynamic environments,providing an effective solu-tion to the resource allocation challenges faced by multi-agent systems in complex scenarios.关键词
动态需求/多智能体/资源分配/多目标优化Key words
dynamic demands/multi-agent/resource allocation/multi-objective optimization分类
信息技术与安全科学引用本文复制引用
胡凯铭,庄毅,许涛..面向动态需求的多智能体资源自适应分配算法[J].计算机与现代化,2025,(12):11-18,25,9.基金项目
国家自然科学基金资助项目(62072235) （62072235）
