摘要
将竞争性问题与不确定性问题加入数学模型的构建中,使构建出的模型能够更好的辅助选址决策。同时基于非支配排序与鲁棒优化的概念对蝠鲼优化算法进行改进,并对模型进行求解。结果表明改进的蝠鲼优化算法能够较好地解决此类问题,能对实践活动起到指导效果。
In this paper, by incorporating competition and uncertainty in mathematical modeling, we constructed a model more capable of assisting site selection decision-making. At the same time, based on the concepts of non-dominated sorting and robust optimization, we improved the manta ray optimization algorithm and used it to solve the model. The result showed that the improved manta ray optimization algorithm could solve such problem very well.
作者
魏志铭
张步阔
WEI Zhiming;ZHANG Bukuo(School of Management,Guizhou University,Guiyang 550025,China)
出处
《物流技术》
2023年第1期65-68,73,共5页
Logistics Technology
基金
国家自然科学基金资助项目(71761006)。
关键词
竞争环境
消费行为
需求不确定
LRP选址
competitive environment
consumer behavior
demand uncertainty
LRP location selection
