摘要
[目的]研究油料运输过程中油库的最优选址问题。[方法]综合考虑多方面因素,建立以经济成本最小化、用油单位满意度及油库安全性最大化为目标的多目标优化模型,并对模型进行分析。[结果]基于多目标优化问题经典的线性加权标量化方法,引入模拟退火算法对多目标优化模型进行求解。[结论]提出的多目标优化方法能够在较高的安全性和满意度下获得更优的经济成本,为更好解决油库选址提供决策参考。
[Purposes]To study the optimal location of oil depot in the process of oil transportation.[Methods]Considering various factors comprehensively,a multi-objective optimization model was established with the objective of minimizing economic cost,maximizing oil unit satisfaction and oil depot security,and the model was analyzed.[Findings]Based on the classical linear weighted quantization method of multi-objective optimization problems,simulated annealing algorithm was introduced to solve the multi-objective optimization model.[Conclusions]The proposed multi-objective optimization method can obtain better economic cost with higher security and satisfaction,which provides a reference for decision-making to better solve the location of oil depot.
作者
谯露
舒勤
赵克全
QIAO Lu;SHU Qin;ZHAO Kequan(School of Mathematical Sciences,Chongqing Normal University,Chongqing 401331,China)
出处
《重庆师范大学学报(自然科学版)》
CAS
北大核心
2023年第1期82-87,共6页
Journal of Chongqing Normal University:Natural Science
基金
国家自然科学基金(No.11991024,No.12171063)
重庆市高校创新研究群体项目(No.CXQT20014)
重庆市自然科学基金面上项目(No.cstc2021jcyj-msxmX0280)
重庆英才计划“包干制”项目(No.CQYC20210302270)
重庆市教委科学技术研究项目(No.KJQN202100521)。
关键词
油库选址问题
多目标优化
模拟退火算法
满意度刻画
oil depot location problem
multi-objective optimization
Simulated annealing algorithm
satisfaction