机动车检测站可持续选址随机布局优化研究  

Study on the Randomly Optimized Layout of Sustainable Location of Vehicle Test Station

作　　者：刘月 LIU Yue(Transportation Cause Development Center of Liaoning Province,Shenyang Liaoning 110000,China)

机构地区：[1]辽宁省交通运输事业发展中心,辽宁沈阳110000

出　　处：《机电产品开发与创新》2022年第3期54-56,共3页Development & Innovation of Machinery & Electrical Products

摘　　要：对机动车检测站随机选址模型的主要参数进行描述,提出面向节能减排的低碳性目标。构建以低能耗为目标的期望值能效模型和机会约束能效模型,设计混合智能算法对模型进行求解,并通过实例对检测站可持续随机选址的布局优化进行了具体研究。The assumptions and the main parameters of deterministic location models of the vehicle test station are described,and propose the low carbon target for energy saving and emission reduction.With the low energy consumption as a goal,the energy-efficient models without constraints and the energy-efficient models with CO2 emission constraint are published,and a corresponding optimization algorithm is chosen to solve the models and through the example of the motor vehicle test station layout optimization of the specific research.

关 键 词：机动车检测站 随机选址 能效 混合智能算法 

分 类 号：U491[交通运输工程—交通运输规划与管理] O221.5[交通运输工程—道路与铁道工程]