战后武器装备车间调度遗传算法的参数优化  

Parameter Optimization of PostwarWeapon and Equipment Workshop Scheduling Genetic Algorithm

作　　者：曾艾婧 刘永姜[1] 孟小玲 温海骏[1] 邵延君[1] ZENG Ai-jing;LIU Yong-jiang;MENG Xiao-ling;WEN Hai-jun;SHAO Yan-jun(North University of China,Taiyuan 030051,China)

机构地区：[1]中北大学,太原030051

出　　处：《火力与指挥控制》2020年第12期153-159,共7页Fire Control & Command Control

基　　金：山西省自然科学基金资助项目(201701D121079,201801D121185);山西省研究生创新资助项目(2020SY349)。

摘　　要：为了求解战后武器装备再制造维修车间调度优化问题,利用遗传算法与响应面法(Response surface method,RSM)相结合的方法。基于响应面法,选取调度最小完工时间(W)作为响应值,交叉率(A)、变异率(B)、迭代次数(C)、个体数目(D)这几个关键参数作为优化变量,利用Design-Expert软件建立最小完工时间的预测模型并对实验结果进行方差分析,得出关键参数及其之间的交互作用对最小完工时间的影响,并借助Numerical模块得到的最优参数组合为:A=0.99,B=0.1,C=131次,D=77个。In order to solve the scheduling optimization problem of postwar weapon equipment remanufacturing maintenance shop,the method combining genetic algorithm and Response surface method(RSM)is used.Based on response surface method,the selection of scheduling minimum completion time(W)as response value,crossover rate(A),mutation rate(B),the number of iterations(C)and the number of individuals(D)that several key parameters as optimization variables,using the Design-Expert software to establish the forecast model of minimum completion time of variance analysis and the results of the experiment,it is concluded that the key parameters and the interaction between the impact on the minimum completion time,and with the aid of Numerical module to get the optimal parameter combination is:a cross ratio of 0.99,a variation rate of 0.1,a number of iterations of 131,a individual number of 77.

关 键 词：战后武器装备 再制造 车间调度 遗传算法 响应面分析法 参数优化 

分 类 号：TJ01[兵器科学与技术—兵器发射理论与技术]