摘要
在全域装备器材保障过程中,考虑预先调剂的多种超储器材供应方式及其优先级排序,以总成本最小、时间最短、闲置率最低为目标,构建了装备器材调剂型供应优化模型,引入遗传算子的改进人工鱼群算法进行求解,实例分析结果表明优化供应方案优于现行供应方案,验证了模型和算法的有效性和优越性。
Aiming at the optimization problem of equipment supply for over storage in the whole area,this paper comprehensively analyzed the various supply modes and their priority ranking problems considering the pre adjustment.Taking the minimum total cost,the shortest time and the lowest idle rate as the multi-objective,this paper constructed the optimization model of equipment supply for adjustment,and designed the improved artificial fish swarm algorithm which introduces the genetic operator to solve the problem.The results show that the optimal supply scheme is better than the current supply scheme,and then verify the effectiveness and superiority of the optimization model and the improved algorithm.
作者
贾琦
王铁宁
JIA Qi;WANG Tiening(Army Armored Academy, Beijing 100072, China;The Northern War Zone Army, Jinan 250000, China)
出处
《兵器装备工程学报》
CAS
CSCD
北大核心
2021年第2期131-136,共6页
Journal of Ordnance Equipment Engineering
基金
军队总装科研项目(2020BZ08,陆军装备器材筹措数据建设)。
关键词
器材供应
超储器材
多目标优化模型
遗传算法
人工鱼群算法
equipment supply
over storage equipment
multi-objective optimization model
genetic algorithm
artificial fish swarm algorithm
