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Low-Carbon Routing Based on Improved Artificial Bee Colony Algorithm for electric trackless rubber-tyred vehicles

Complex System Modeling and Simulation 2023年第3期3卷 169-190页

作者： Yinan Guo Yao Huang Shirong Ge Yizhe Zhang Ersong Jiang Bin Cheng Shengxiang Yang School of Mechanical Electronic and Information Engineering China University of Mining and Technology(Beijing)Beijing 100083China Inner Mongolia Research Institute China University of Mining and Technology(Beijing)Ordos 017010China Institute of Artificial Intelligence School of Computer Science and InformaticsDe Montfort UniversityLeicesterLE19BHUK.

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 *** studies have been done on scheduling rubber-tyerd vehicles driven by diesel oil,however,less works are for electric trackless rubber-tyred ***,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 *** 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 *** a problem-solver,an improved artificial bee colony algorithm is put *** especially,an adaptive neighborhood search is designed to guide employed bees to select appropriate operator in a specific *** order to assign onlookers to some promising food sources reasonably,their selection probability is adaptively *** a stagnant food source,a knowledge-driven initialization is developed to generate a feasible *** 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

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