Research on the Supernetwork Equalization Model of Multilayer Attributive Regional Logistics Integration

Xu, Jian; Yanna, Yin; Xin, Wen; Lin, Guozhi

doi:10.1155/2019/8583060

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…To better represent, this paper visualizes the membership function of the MATLAB capability layer in the following figure, where are the different capability layers of the network architecture capability respectively, forming a collection of the fuzzy layer. SL 1 , SL 2 , SL 3 , SL 4 , SL 5 is a set of different capability layers of network architecture capabilities, and its corresponding membership functions can be expressed as expressions (7)- (11), and then normalized by using equations (5)-(6).…”

Section: B Ability To Layeredmentioning

confidence: 99%

Dynamic Tasks Scheduling Model of UAV Cluster Based on Flexible Network Architecture

Duan¹,

Wang²,

Wang³

et al. 2020

IEEE Access

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With the rapid growth of application demands and the real-time change of environmental situations, the defects of the UAV task network in adaptability, flexibility, and resilience are becoming more and more prominent. The current network architecture that the junction of points and lines is fixed cannot dynamically provide capacity requirements in real-time due to the failure nodes encountered in the Unmanned Aerial Vehicle (UAV) task scheduling process. To address this challenging issue, this paper proposes a flexible network architecture supporting dynamic fault-tolerant task scheduling model (DSM-FNA) for the UAV cluster. To be specific this paper resorts to super network theory, combining the management theory of flexible network and resilience network to carry out the organizational calculation on the model, and also draw upon linear transformation function to weight and stratify the capability value according to the ability requirement required by the task. Then, a flexible network architecture dynamic scheduling algorithm (FDSA) is proposed, and the substitution strategy is designed for the failure point, to realize the capability and dynamically adapt to the task. Finally, compared with the classical Max-Min algorithm and other algorithms, it is verified that the FDSA algorithm performs better dynamic adjustment for quick response in case of UAV cluster emergencies.

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Section: B Ability To Layeredmentioning

confidence: 99%

Dynamic Tasks Scheduling Model of UAV Cluster Based on Flexible Network Architecture

Duan¹,

Wang²,

Wang³

et al. 2020

IEEE Access

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Reliability-Oriented Route Generation Algorithm for Multimodal Transport: A Perspective from Supply Chain Reliability Enhancement

Yue

Yang

et al. 2023

J. Transp. Eng., Part A: Systems

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A comparative analysis of the robustness of multimodal comprehensive transportation network considering mode transfer: A case study

Zheng

Xiao

Hua

et al. 2023

era

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<abstract> <p>China has built a nationwide transportation network, but there needs to be a smooth connection and transfer between different modes. Five networks are constructed to explore the characteristics of a multimodal comprehensive transportation network (CNet) in Jiangsu Province based on the optimized modeling method and multisource data. Statistical and robustness characteristics are analyzed for CNet and other single-mode networks including the highway, railway, navigation channel and airway networks (HNet, RNet, NNet and ANet, respectively). The research results show following: (ⅰ) In Jiangsu, CNet, HNet, RNet and NNet are not scale-free networks and do not have small-world properties. However, ANet is the opposite. (ⅱ) The five networks in Jiangsu are robust to the random attack and their robustness changes during the attack. However, their robustness is different under different calculated attacks. For all attack strategies, CNet is the most robust. (ⅲ) In Jiangsu, the three optimized methods enhance the robustness significantly. The network failure is delayed by 12.34, 2.79 and 2.44%, respectively. The average connectivity degree is improved by 265.69, 52.95 and 32.54%, respectively. The more hubs there are with powerful transfer capacity, the stronger the network robustness. The results reveal the key points of the construction of a multimodal comprehensive transportation system and can guide the design and optimization of it.</p> </abstract>

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Research on the Supernetwork Equalization Model of Multilayer Attributive Regional Logistics Integration

Cited by 3 publications

References 13 publications

Dynamic Tasks Scheduling Model of UAV Cluster Based on Flexible Network Architecture

Dynamic Tasks Scheduling Model of UAV Cluster Based on Flexible Network Architecture

Reliability-Oriented Route Generation Algorithm for Multimodal Transport: A Perspective from Supply Chain Reliability Enhancement

A comparative analysis of the robustness of multimodal comprehensive transportation network considering mode transfer: A case study

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