基于遗传算法的农机服务资源优化配置方法  

Optimized allocation method of agricultural machinery service resources based on genetic algorithm

作　　者：梅运东 刘丽娜 代军[2] 刘海娜 田晓光 Mei Yundong;Liu Lina;Dai Jun;Liu Haina;Tian Xiaoguang(School of Mechanical and Electrical Engineering,Huanghe Jiaotong University,Jiaozuo,454950,China;School of Mechanical and Power Engineering,Henan Polytechnic University,Jiaozuo,454003,China)

机构地区：[1]黄河交通学院机电工程学院,河南焦作454950 [2]河南理工大学机械与动力工程学院,河南焦作454003

出　　处：《中国农机化学报》2025年第3期323-327,共5页Journal of Chinese Agricultural Mechanization

基　　金：河南省科技攻关项目(232102221028,212102210340)。

摘　　要：农机作业作为一种涉及广泛、技术性强的农业生产活动,具有任务重、对象复杂、环境差和时效性强等特点。然而,当前农机作业面临调度水平差、资源配置不合理以及作业效率低等问题,为提高农机作业的效率和服务水平,在综合考虑运输时间、最优路径、综合成本、等待时间惩罚以及迟到时间惩罚的基础上,结合农机作业实际调度特点,建立多变量因子约束下的农机调度模型。通过引入运输时间、最优路径、综合成本、等待时间惩罚、迟到时间惩罚等多个约束条件,经相关实际算例验证该模型及算法的有效性和可行性。结果表明,基于遗传算法进行任务序列优化,可以有效降低调度成本,优化最优路径,提高农机作业效率和农机社会化服务水平。同时,算法的运行时间小于1 s,确保在各种复杂情况下,农机调度能够达到最优状态,满足农机作业的实时性和时效性要求。Agricultural machinery operations,as extensive and highly technical agricultural production activities,are characterized by heavy tasks,complex targets,poor environments,and strong time sensitivity.However,current agricultural machinery operations face problems such as poor scheduling,unreasonable resource allocation,and low operational efficiency.To improve the efficiency and service level of agricultural machinery operations,this study establishes a scheduling model of agricultural machinery under multivariable constraints.The model incorporates factor such as transportation time,optimal path,total costs,waiting time penalties,and tardiness penalties,according to the practical scheduling characteristics of agricultural machinery operations.By introducing these various constraints,the effectiveness and feasibility of the model and algorithms are fully verified through relevant case studies.The result show that task sequence optimization based on a genetic algorithm effectively reduces scheduling costs,optimizes the path,and improves the operational efficiency and the quality of agricultural machinery social services.In addition,the running time of the algorithm is less than 1 s,which ensures that the agricultural machinery scheduling reaches the optimal state under various complex situations and meets the real-time and time-sensitive operational requirements.

关 键 词：农机调度 协同优化 遗传算法 任务分配 农机服务 资源优化配置 

分 类 号：S23-01[农业科学—农业机械化工程]