Low-Carbon Routing Based on Improved Artificial Bee Colony Algorithm for Electric Trackless Rubber-Tyred Vehicles  

作　　者：Yinan Guo Yao Huang Shirong Ge Yizhe Zhang Ersong Jiang Bin Cheng Shengxiang Yang 

机构地区：[1]School of Mechanical Electronic and Information Engineering,China University of Mining and Technology(Beijing),Beijing 100083,China [2]Inner Mongolia Research Institute,China University of Mining and Technology(Beijing),Ordos 017010,China [3]Institute of Artificial Intelligence,School of Computer Science and Informatics,De Montfort University,Leicester,LE19BH,UK.

出　　处：《Complex System Modeling and Simulation》2023年第3期169-190,共22页复杂系统建模与仿真（英文）

基　　金：This work was supported by the National Key R&D Program of China(No.2022YFB4703701);National Natural Science Foundation of China(Nos.61973305,52121003,and 61573361);Royal Society International Exchanges 2020 Cost Share,and the 111 Project(No.B21014).

摘　　要：Trackless rubber-tyerd vehicles are the core equipment for auxiliary transportation in inclined-shaft coal mines,and the rationality of their routes plays the direct impact on operation safety and energy consumption.Rich studies have been done on scheduling rubber-tyerd vehicles driven by diesel oil,however,less works are for electric trackless rubber-tyred vehicles.Furthermore,energy consumption of vehicles gives no consideration on the impact of complex roadway and traffic rules on driving,especially the limited cruising ability of electric trackless rubber-tyred vehichles(TRVs).To address this issue,an energy consumption model of an electric trackless rubber-tyred vehicle is formulated,in which the effects from total mass,speed profiles,slope of roadways,and energy management mode are all considered.Following that,a low-carbon routing model of electric trackless rubber-tyred vehicles is built to minimize the total energy consumption under the constraint of vehicle avoidance,allowable load,and endurance power.As a problem-solver,an improved artificial bee colony algorithm is put forward.More especially,an adaptive neighborhood search is designed to guide employed bees to select appropriate operator in a specific space.In order to assign onlookers to some promising food sources reasonably,their selection probability is adaptively adjusted.For a stagnant food source,a knowledge-driven initialization is developed to generate a feasible substitute.The experimental results on four real-world instances indicate that improved artificial bee colony algorithm(IABC)outperforms other comparative algorithms and the special designs in its three phases effectively avoid premature convergence and speed up convergence.

关 键 词：electric trackless rubber-tyred vehicles low-carbon ROUTING artificial bee colony algorithm 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]