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Titlebook: Computational Logistics; 11th International C Eduardo Lalla-Ruiz,Martijn Mes,Stefan Vo? Conference proceedings 2020 Springer Nature Switzer

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發(fā)表于 2025-3-21 17:17:43 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Computational Logistics
副標(biāo)題11th International C
編輯Eduardo Lalla-Ruiz,Martijn Mes,Stefan Vo?
視頻videohttp://file.papertrans.cn/233/232645/232645.mp4
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Computational Logistics; 11th International C Eduardo Lalla-Ruiz,Martijn Mes,Stefan Vo? Conference proceedings 2020 Springer Nature Switzer
描述This book constitutes the proceedings of the 11th International Conference on Computational Logistics, ICCL 2020, held in Enschede, The Netherlands, in September 2020..The 49 papers included in this book were carefully reviewed and selected from 73 submissions. They were organized in topical sections named: maritime and port logistics; vehicle routing and scheduling; freight distribution and city logistics; network design and scheduling; and selected topics in logistics..Due to the Corona pandemic ICCL 2020 was held as a virtual event..
出版日期Conference proceedings 2020
關(guān)鍵詞artificial intelligence; bandwidth; communication systems; computer networks; computer science; computer
版次1
doihttps://doi.org/10.1007/978-3-030-59747-4
isbn_softcover978-3-030-59746-7
isbn_ebook978-3-030-59747-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

書(shū)目名稱Computational Logistics影響因子(影響力)




書(shū)目名稱Computational Logistics影響因子(影響力)學(xué)科排名




書(shū)目名稱Computational Logistics網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Computational Logistics網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Computational Logistics被引頻次




書(shū)目名稱Computational Logistics被引頻次學(xué)科排名




書(shū)目名稱Computational Logistics年度引用




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Smart Containers with Bidding Capacity: A Policy Gradient Algorithm for Semi-cooperative Learning experiments show that sharing solely bids and acceptance decisions leads to stable bidding policies. Real-time system information only marginally improves performance; individual job properties suffice to place appropriate bids. Furthermore, we find that carriers may have incentives not to share in
地板
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Analyzing the Impact of the Northern Sea Route on Tramp Ship Routing with Uncertain Cargo Availabilion. The effect is most significant for transportation between Northern Asia and Northern Europe, while less interesting to Southern Asia. In general, the NSR is more favored than the Suez Canal Route for both transporting cargoes and repositioning vessels.
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Vehicle Routing Problem with Reverse Cross-Docking: An Adaptive Large Neighborhood Search Algorithmosed ALNS obtains optimal solutions for 24 out of 30 problems of the first set of benchmark instances while getting better results for all instances in the second set of benchmark instances compared to optimization software.
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Solving a Bi-Objective Rich Vehicle Routing Problem with Customer Prioritizationents considering different customer preferences (visit as soon as possible or at a specific time) and problem settings. For the combined objective, we see an average costs reduction for the dissatisfaction function approach compared to the standard time window approach of 48% over all experiments. F
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Decentralized Combinatorial Auctions for Dynamic and Large-Scale Collaborative Vehicle Routingly single order auctions. Moreover, experiments on data from a Dutch transportation platform company show that large-scale collaboration through a platform results in system-wide savings of up?to 79% for 1000 carriers.
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