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基于云自适应遗传算法的野营器材运输路径优化

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

camping equipmentcloud adaptivegenetic algorithmpath optimization modelsimulation

王涛、王丰、王妙春、吴洁

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陆军勤务学院 重庆 401331

野营器材 云自适应 遗传算法 路径优化模型 仿真

国家社会科学基金项目

19BGL290

2024

舰船电子工程
中国船舶重工集团公司第709研究所 中国造船工程学会 电子技术学术委员会

舰船电子工程

CSTPCD
影响因子:0.243
ISSN:1627-9730
年,卷(期):2024.44(6)
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