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An Efficient Ant Colony System Approach for New Energy Vehicle Dispatch Problem

机译:一种高效的蚁群系统方法,用于新能源汽车调度问题

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摘要

As a powerful measure to alleviate greenhouse gas emissions and global warming issue, new energy vehicle (NEV) has aroused extensive attention from the whole society in recent years. In the past few decades, many studies have been conducted on the dispatch of traditional fuel-driven vehicles. As a means of transportation, NEV has the characteristics of fuel-driven vehicles, but the dispatch is different because of its unique refueling manner. With the popularization of NEV, its unique dispatch research is imminent. This paper comprehensively considers electricity and charging piles during the NEV dispatch (NEVD) process. An NEVD framework containing a novel dispatch model is proposed, which elaborates the application service of NEV. To the best of our knowledge, this study is the first to combine NEVD with service system. Based on the formulated model, an efficient ant colony system (EACS) approach enhanced by pre-selection strategy and local pruning strategy is designed to dispatch NEVs to passengers. Experiments are carried out to investigate the applicable scenarios of ACS-based algorithms. The results verify that the proposed EACS algorithm is an effective and efficient approach to solve the NEVD problem.
机译:作为减轻温室气体排放和全球变暖问题的强大措施,近年来,新的能源车(内部)引起了全社会的广泛关注。在过去的几十年里,已经在传统的燃料驱动车辆发出了许多研究。作为一种运输工程,NEV具有燃料驱动车辆的特点,但由于其独特的加油方式,派遣不同。随着NEV的推广,其独特的调度研究迫在眉睫。本文在内部调度(NEVD)过程中全面考虑电力和充电桩。提出了一种含有新型调度模型的内视框架,其详细阐述了Nev的应用服务。据我们所知,这项研究是第一个将Nevd与服务系统结合的首次。基于配交模型,通过预选策略和局部修剪策略增强了一项有效的蚁群系统(EAC)方法,旨在向乘客发送NEV。进行实验以研究基于ACS的算法的适用场景。结果验证了所提出的EACS算法是解决奈威问题的有效和有效的方法。

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