文献类型：期刊文献

中文题名：基于智能优化算法的原油移动路径规划研究

英文题名：Research on Crude Oil Movement Path Planning Based on Intelligent Optimization Algorithms

作者：朱宏震[1];王舒涵[1];贡一粟[1];梁辰[1]

机构：[1]华东理工大学自动化系,上海200237

年份：2023

卷号：64

期号：23

起止页码：19

中文期刊名：自动化应用

外文期刊名：Automation Application

基金：大学生创新创业训练计划项目(202210251063,202210251069)。

语种：中文

中文关键词：大规模原油调度;多目标优化;智能优化算法;路径规划

外文关键词：large-scale crude oil dispatching;multi-objective optimization;intelligent optimization algorithm;route planning

摘要：本文研究了沿海型炼厂原油移动路径规划问题,根据实际化工罐区建立了图结构数学模型,基于多目标优化算法对模型求解,引入Deb准则处理复杂约束条件,得到了较为理想的原油移动路径规划方案。结果表明,在给出多个需同时移动的子任务的情况下,优化得到的路径规划方案均为可行方案,并能够根据实际生产需求选择相应功率的泵机,达到最小化功耗的需求。由此可见,本文设计算法能够有效解决沿海型炼厂原油移动路径规划问题。
This paper studied the problem of crude oil movement path planning for coastal refineries.By establishing a graph structure mathematical model based on actual chemical can senction,solving the model using multi-objective optimization algorithms,and introducing the Deb rule to handle complex constraint conditions,a relatively ideal plan for crude oil movement path planning was obtained.The results showed that,in the case of multiple subtasks that need to be moved simultaneously,the optimized path planning schemes are all feasible and can select the corresponding power pump according to actual production needs to minimize power consumption.It can be concluded that the designed algorithm can effectively solve the problem of crude oil movement path planning in coastal refineries.