计算机应用研究2026，Vol.43Issue(6)：1793-1800,8.DOI:10.19734/j.issn.1001-3695.2025.10.0438
基于改进哈里斯鹰优化算法的任务卸载策略
Task offloading strategy based on improved Harris hawk optimization algorithm
摘要
Abstract
To address the challenges of resource constraints and system overhead in mobile edge computing systems when off-loading tasks for multiple users simultaneously,this study investigated the task offloading problem in CDMA-based edge com-puting networks.By employing the improved Harris hawk optimization algorithm(IHHO),the research established a mapping relationship between population characteristics and system objectives to jointly optimize system delay and energy consumption,thereby minimizing the overall system cost under constraints such as computing modes,maximum tolerable delay,and the ma-ximum number of devices a single server can accommodate.In solving the problem,the study considered practical factors such as"0-1"offloading of tasks,diversified computing modes,and the tendency of the traditional Harris hawk optimization algo-rithm to fall into local optima.Based on discrete coding and shuffle algorithm initialization,it designed an optimal offloading strategy.Simulation results demonstrate that the proposed algorithm significantly reduces task processing overhead under delay constraints,providing an effective solution for resource allocation in edge computing.关键词
移动边缘计算/任务卸载/哈里斯鹰优化算法Key words
mobile edge computing/task offloading/Harris hawk optimization algorithm分类
信息技术与安全科学引用本文复制引用
杨曼,张泽鹏,薛盼盼..基于改进哈里斯鹰优化算法的任务卸载策略[J].计算机应用研究,2026,43(6):1793-1800,8.基金项目
甘肃省教育厅高校教师创新基金资助项目(2025B-171) （2025B-171）
兰州城市学院青年 基金资助项目(LZCU-QN2025-01) （LZCU-QN2025-01）
