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基于PSO算法的公路养护决策优化研究
Optimization decision of highway maintenance based on PSO algorithms
【摘要】 针对公路养护决策中存在的问题,以路面养护为例,借助LDR指数建立养护决策模型,利用粒子群优化算法(PSO)决策模型,对不同路面条件下公路养护决策进行优化分析。研究成果将对公路养护提供决策支持,并提出利于公路养护资金优化的方法。
【Abstract】 It focuses on some problems which are in the highway maintenance management decisions.Taking the pavement maintenance as an example,through LDR indexes,a maintenance decision-making model is established.By using of particle swarm optimization(PSO)decision model,the different pavement conditions of highway maintenance decisions will be optimized.The results of this research will provide some support for highway maintenance decision,and present an optimization methodology for highway maintenance funding.
【关键词】 公路养护决策;
优化决策;
LDR指数;
粒子群优化算法(PSO);
【Key words】 highway maintenance decision; optimization decision; LDR indexes; particle swarm optimization(PSO);
【Key words】 highway maintenance decision; optimization decision; LDR indexes; particle swarm optimization(PSO);
【基金】 黑龙江省交通运输厅重点科技项目(JT2011-02GLJ)
- 【文献出处】 黑龙江工程学院学报 ,Journal of Heilongjiang Institute of Technology , 编辑部邮箱 ,2015年01期
- 【分类号】U418.2
- 【被引频次】6
- 【下载频次】81