基于遗传算法的弹药贮存方案优化设计  

Optimization Design of Ammunition Storage Scheme Based on Genetic Algorithm

作　　者：郑晓梅 王丽婷 李冰 吕培鑫 冯义翔 ZHENG Xiaomei;WANG Liting;LI Bing;LYU Peixin;FENG Yixiang(Naval Aviation University,Yantai 264000)

机构地区：[1]海军航空大学,烟台264000

出　　处：《舰船电子工程》2025年第3期28-32,205,共6页Ship Electronic Engineering

摘　　要：当前,世界各国对于如何高效、可靠、准确地开展机载弹药保障作业高度的关注。机载弹药贮存舱作为保障的基础和对机供弹流程的起点,贮存位置和舱室内贮存弹药类型等问题与最终的弹药保障效率密切相关。因此,论文针对美国“尼米兹”级航母贮运资源进行梳理,以响应不同作战任务的保障需求和弹药调度的时间约束为前提,采用智能算法,研究机载弹药贮存方案设计问题,以期获得最优或较优的贮存方案。Currently,countries around the world are highly concerned about how to efficiently,reliably,and accurately carry out airborne ammunition support operations.The airborne ammunition storage compartment serves as the foundation of support and the starting point of the ammunition supply process to the aircraft.The storage location and type of ammunition stored in the compart-ment are closely related to the final efficiency of ammunition support.Therefore,this article aims to sort out the storage and transpor-tation resources of the"Nimitz"class aircraft carrier in the United States.Based on the premise of responding to the support needs of different combat tasks and the time constraints of ammunition scheduling,intelligent algorithms are used to study the design prob-lem of airborne ammunition storage schemes,in order to obtain the optimal or more optimal storage scheme.

关 键 词：弹药贮存 弹药调度 遗传算法 优化设计 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]