摘要
本文针对皮革化学品运输风险大、运输成本高的问题,以最小化运输风险和运输成本为目标函数,并采用改进遗传算法进行求解,获取最佳运输模式和运输路径,提出一种皮革化学品运输优化方案。仿真结果表明,所提方案在不同目标函数权重下可获取与精确算法求解相对误差较小的目标函数值,具有一定的有效性,可用于实际皮革化学品运输优化模型求解,进而获取皮革化学品运输的最佳运输模式和运输路径。
Aiming at the problem of high risk and high transportation cost of leather chemicals,taking minimizing transportation risk and transportation cost as the objective function,an improved genetic algorithm using adaptive crossover probability and adaptive mutation probability was used to obtain the best transportation mode and path,and an optimization scheme for leather chemicals transportation was proposed.The simulation results show that the proposed scheme can obtain the objective function value with small relative error compared with the accurate algorithm under different objective function weights,and has certain effectiveness.It can be used to solve the actual leather chemical transportation optimization model,and then obtain the best transportation mode and transportation path of leather chemical transportation.
作者
张文彦
ZHANG Wen-yan(Department of Management Engineering,Gansu Communications Vocational and Technical College,Lanzhou 730207,China)
出处
《中国皮革》
CAS
2023年第6期23-29,共7页
China Leather
基金
甘肃省教育科学“十四五”规划2021年度一般课题(GS[2021]GHB1838)。
关键词
皮革化学品
运输优化
目标函数
遗传算法
leather chemicals
transportation optimization
objective function
genetic algorithm
