群智感知系统下的员工多终端协作任务调度优化模型  

Optimization Model for Multi-terminal Collaborative Task Scheduling among Employees under the Crowdsensing System

作　　者：谢志刚 杨常亮 李堃 陈雅 田春艳 XIE Zhigang;YANG Changliang;LI Kun;CHEN Ya;TIAN Chunyan(Pingliang Power Supply Company of State Grid Gansu Power Company,Pingliang 744000,China)

机构地区：[1]国网甘肃省电力公司平凉供电公司,甘肃平凉744000

出　　处：《微型电脑应用》2025年第2期132-135,共4页Microcomputer Applications

摘　　要：为了提高员工工作效率,增加公司总利润,优化协作任务调度效果,设计群智感知计算下的员工多终端协作任务调度优化模型。以最大员工工作效率与最大公司总利润为目标函数,以协作任务数量与员工总代价等为约束条件,建立员工多终端协作任务调度优化模型。利用正交自适应鲸鱼优化算法求解协作任务调度优化模型,获取最大员工工作效率与最大公司总利润,以及对应的员工多终端协作任务调度优化方案。实验证明:所提模型可有效优化员工多终端协作任务调度,提高工作效率和总利润;在不同协作任务数量下,所提模型的反世代距离较低、超体积较大,具备较优的收敛效果,分布性能指标较低,搜索到的解具备较宽广的分布且分布均匀。In order to improve the work efficiency of employees,increase the total profit of the company and optimize the effect of collaborative task scheduling,a multi-terminal collaborative task scheduling optimization model for employees based on mobile crowd sensing system is designed.The maximum employee work efficiency and the maximum total profit of the company are taken as the objective function,and the number of collaborative tasks and the total cost of employees are taken as the constraint conditions,then an optimization model of employee multi-terminal collaborative task scheduling is established.This paper uses orthogonal adaptive whale optimization algorithm to solve the collaborative task scheduling optimization model,and obtains the maximum employee work efficiency and the maximum company total profit and the corresponding employee multi-terminal collaborative task scheduling optimization scheme.The experiment shows that the model can effectively optimize the scheduling of multi-terminal collaborative tasks of employees,improve work efficiency and total profit.When the number of collaborative tasks is different,the model has lower anti-generation distance,larger super-volume,better convergence effect,lower distribution performance index,and the search solution has a wide distribution and uniform distribution.

关 键 词：群智感知系统 员工多终端 协作任务 调度优化 工作效率 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]