基于云自适应遗传算法的野营器材运输路径优化  

Optimization of Camping Equipment Transportation Path Based on Cloud Adaptive Genetic Algorithm

作　　者：王涛 王丰 王妙春 吴洁 WANG Tao;WANG Feng;WANG Miaochun;WU Jie(Army Logistical Academy,Chongqing 401331)

机构地区：[1]陆军勤务学院,重庆401331

出　　处：《舰船电子工程》2024年第6期46-52,共7页Ship Electronic Engineering

基　　金：国家社会科学基金项目“国家物流枢纽网络军民融合发展研究”(编号:19BGL290)资助。

摘　　要：针对野营器材运输投送过程中存在的及时性不强、精准性不高和匹配性欠佳等问题,论文围绕现代联合作战保障和现代军事物流体系建设,综合考虑野营器材运输投送中的时间要求、经济成本和风险制约,构建运输路径优化模型,并采用基于云自适应遗传算法优化求解,以期制定合理的野营器材运输方案,供野营器材保障决策参考。Aiming at the problems of poor timeliness,precision and matching in the transportation and delivery of camping equipment,this paper focuses on the construction of modern joint combat support and modern military logistics system,comprehen-sively considers the time requirements,economic costs and risk constraints in the transportation and delivery of camping equip-ment,constructs a transportation path optimization model,and adopts cloud-based adaptive genetic algorithm to optimize the solu-tion,in order to formulate a reasonable transportation scheme of camping equipment for reference in the decision-making of camp-ing equipment support.

关 键 词：野营器材 云自适应 遗传算法 路径优化模型 仿真 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]