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UKSim-AMSS 7th European Modelling Symposium on Computer Modelling and Simulation (EMS)

作者： Yagcitekin, Bunyamin Uzunoglu, Mehmet Ocal, Birol Turan, Eren Tunc, Ahmet Yildiz Tekn Univ Dept Elect Engn Istanbul Turkey

ISBN: (纸本)9781479925780

Nowadays, electric vehicles (EVs) are expected to become popular together with the development of smart grid technologies. EVs are preferred, since they have low emission and less power consumption. Smart charging management, charging infrastructure and charging stations are among the crucial necessities for widely usage of EVs. Charging strategies are one of the most challenging concerns related to the charging of electric vehicle. In this study, smart charging management strategy is proposed through application of floyd algorithm, parking space and power capacity control. Proposed strategy considers substation loading data, voltage fluctuation and behavior of drivers and tries to prevent the overloading of transformers. Survey analysis is made among the academic staff and university students in Yildiz Technical University to determine drivers' behaviors. Whole campus areas including the faculty buildings, substations, parking areas are modeled with MATLAB/Simulink. EVs are successfully routed to the most suitable charge point with the developed charging management strategy algorithm. Within the scope of this study, proposed model and obtained results are discussed in detail.

关键词： electric vehicle smart grid smart charging charging management floyd algorithm

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Mathematical Modeling of Gas Transportation System Using Graph Theory 6th

Mathematical Modeling of Gas Transportation System Using Gra...

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6th International Conference on Industrial Engineering, ICIE 2020

作者： Syzrantseva, K. Rumyantsev, V. Alfyorova, M. Tyumen Industrial University 38 Volodarskiy Street Tyumen625000 Russia

ISBN: (纸本)9783030548162

The article describes building a high-precision model of a gas transportation system based on the graph theory, which allows achieving optimal functioning of pipeline networks under normal operation conditions and in emergencies. The issues of mathematical description of gas transportation system initial information uncertainty and algorithms designed for searching optimal routes have been analyzed. The choice of the floyd algorithm for finding the shortest path between any two graph vertices has been substantiated. The algorithm software implementation has been considered in detail. The software module structure, implemented in MATLAB, performing mathematical modeling and optimization of gas transportation system operation conditions has been given. During the implementation of the source environment, an open system of inclusion of graph theory methods to determine the shortest path from one node of the modeled diagram to another has been formed. The developed software has been illustrated by an example of finding the shortest path of the directed graph designed for a fragment of the process flow diagram of OOO "Gazprom Pererabotka." © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Computer simulation floyd algorithm Gas system Graph theory Mathematical modeling MATLAB Optimal path

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Research on Design of Region Postal Logistic Distribution Network with Time Windows

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2013战略管理国际会议

作者： Zuo Xiaode Qing Yanhua Li Jianpeng Management School Jinan University

ISBN: (纸本)9787561478608

Postal distribution network ensures the operation of the postal corporation,while both postal route planning and vehicle scheduling are important factors related to network *** the actual postal operations,this article studies the postal system's vehicle routing problem and builds a nonlinear programming model with time windows and capacity constraints in order to design the postal regional logistic distribution *** planning follows the step by step decision-making *** first step is to establish the region minimum costs model and the second step is to establish the county level minimum costs *** order to solve the postal route planning and vehicle scheduling problems with time and load capacity constraints,we combine the traditional optimization methods and the minimum spanning tree,TSP algorithm,floyd algorithm and advanced greedy algorithm,and then build an improved *** the use of MATLAB,we get the optimal *** results also show that the algorithm can obtain higher quality solutions,and has theoretical value and practical significance.

关键词： VRP floyd algorithm advanced TSP algorithm advanced greedy algorithm

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Two-phase integrated optimisation strategy for network restoration with photovoltaic generation

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The Journal of Engineering 2017年第13期2017卷 1076-1081页

作者： Ziqing Jiang Fei Xiao Qian Ai Qilin He Qiu Sun Department of Electrical Engineering Shanghai Jiao Tong University Shanghai 200240 People's Republic of China

Compared with conventional generation techniques, photovoltaic (PV) generation, which is widely spread and easily connected to the grid, has an excellent ability of self-starting, making it a promising alternative of black-start (BS) sources. Considering the difference between PV units and conventional BS sources, a two-phase network restoration strategy is proposed. In phase 1, a certain thermal power unit is selected using the floyd algorithm and then started by PV units within the blackout network, with the objective to maximise the launching possibility. In phase 2, the unit started in phase 1 is used as the main power source, while PV units as the auxiliary source, to finish the whole restoration procedure. The backtracking algorithm and the Dijkstra algorithm are applied with the objective to maximise the power restored and minimise the time needed during the restoration. Taking the objectives of the two phases into consideration, an integrated optimisation method is proposed, which could guarantee the restoration efficiency and fix the disadvantages of PV system such as low inertia and relatively poorer starting ability. The case study of IEEE 39-bus system proves the practicability and the effectiveness of the method proposed.

关键词： backtracking minimisation power grids power system restoration photovoltaic power systems optimisation thermal power stations PV units blackout network auxiliary source backtracking algorithm Dijkstra algorithm restoration efficiency PV system photovoltaic generation two-phase network restoration strategy thermal power unit floyd algorithm power grids PV generation two-phase integrated optimisation strategy IEEE 39-bus system restored power maximisation time minimisation power source

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Optimizing marine cargo in the Aegean with the simulated annealing algorithm

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JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES 2008年第2期29卷 271-285页

作者： Fountas, Chrysostomos Vlachos, Aristeidis Lytras, Christos Univ Piraeus Dept Informat 80 Karaoli & Dimitrioy Str Piraeus 18534 Greece

This paper presents an optimization approach to the problem of marine cargo in the Aegean, using the Simulated Annealing algorithm. Our main target is minimizing the total crossing costs of thirteen harbors in the Aegean, when a ship can visit a harbor exactly once, with regard to the total cost of fuel and port fees. Our method utilizes floyds algorithm in order to determine the minimum distances and then apply the Simulated Annealing algorithm to the hard combinatorial problem.

关键词： Simulated annealing algorithm floyd algorithm NP-complete problem travelling salesman problem

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Multi-UAV Cooperative Patrol Task Planning Novel Method Based on Improved PFIH algorithm

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IEEE ACCESS 2019年 7卷 167621-167628页

作者： Qiao, Yukun Yang, Jie Zhang, Qi Xi, Jianxiang Kong, Lingyun Xijing Univ Coll Sci Xian 710123 Peoples R China Rocket Force Univ Engn Dept Automat Xian 710025 Peoples R China Chinese Peoples Liberat Army Unit 31102 Nanjing 210016 Peoples R China

This paper investigates the cooperative patrol task planning problems for multiple unmanned aerial vehicles by considering the patrol task requirements. A new cooperative patrol task planning approach is proposed to complete the patrol task. Firstly, the cooperative patrol task planning model for multiple unmanned aerial vehicles is established. Then, the corresponding complex constraint condition processing method with two steps is designed;that is, obtaining the initial result via floyd algorithm firstly and then generating the optimal solution by adopting the improved Push Forward Insertion Heuristic (IPFIH) algorithm. It is proved that the proposed algorithm can obtain feasible solutions that meet all constraints and maximize the patrol payoff under the limited resources conditions. Finally, a numerical simulation is provided to demonstrate the effectiveness of the proposed cooperative patrol task planning approach.

关键词： Multi-UAV patrol task planning floyd algorithm push forward insertion heuristic

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A Practical Parallel algorithm for All-Pair Shortest Path Based on Pipelining

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Journal of Electronic Science and Technology of China 2008年第3期6卷 329-333页

作者： Hua Wang Ling Tian Chun-Hua Jiang School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 610054 China

On the basis of floyd algorithm with the extended path matrix, a parallel algorithm which resolves all-pair shortest path （APSP） problem on cluster environment is analyzed and designed. Meanwhile, the parallel APSP pipelining algorithm makes full use of overlapping technique between computation and communication. Compared with broadcast operation, the parallel algorithm reduces communication cost. This algorithm has been implemented on MPI on PC-cluster. The theoretical analysis and experimental results show that the parallel algorithm is an efficient and scalable algorithm.

关键词： All-pair shortest path floyd algorithm pipelining parallel algorithm

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Document-Level Relation Extraction with Local Relation and Global Inference

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INFORMATION 2023年第7期14卷 365页

作者： Liu, Yiming Shan, Hongtao Nie, Feng Zhang, Gaoyu Yuan, George Xianzhi Shanghai Univ Engn Sci Sch Elect & Elect Engn Shanghai 201620 Peoples R China Shanghai Lixin Univ Accounting & Finance Sch Finance Shanghai 201209 Peoples R China Shanghai Lixin Univ Accounting & Finance Sch Informat Management Shanghai 201209 Peoples R China Chongqing Univ Technol Coll Sci Chongqing 400054 Peoples R China Chengdu Univ Business Sch Chengdu 610106 Peoples R China

The current popular approach to the extraction of document-level relations is mainly based on either a graph structure or serialization model method for the inference, but the graph structure method makes the model complicated, while the serialization model method decreases the extraction accuracy as the text length increases. To address such problems, the goal of this paper is to develop a new approach for document-level relationship extraction by applying a new idea through the consideration of so-called "Local Relationship and Global Inference" (in short, LRGI), which means that we first encode the text using the BERT pre-training model to obtain a local relationship vector first by considering a local context pooling and bilinear group algorithm and then establishing a global inference mechanism based on floyd's algorithm to achieve multi-path multi-hop inference and obtain the global inference vector, which allow us to extract multi-classified relationships with adaptive thresholding criteria. Taking the DocRED dataset as a testing set, the numerical results show that our proposed new approach (LRGI) in this paper achieves an accuracy of 0.73, and the value of F1 is 62.11, corresponding to 28% and 2% improvements by comparing with the classical document-level relationship extraction model (ATLOP), respectively.

关键词： document-level relation extraction multi-hop reasoning attention mechanism BERT pre-trained model floyd algorithm

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An Indoor Autonomous Guided Vehicle Based on Electromagnetic Tracking and Positioning Ibeacon

An Indoor Autonomous Guided Vehicle Based on Electromagnetic...

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第30届中国控制与决策会议

作者： Jiaping Luo Mingyun Chen Jiapeng Li Yongtao Wei Yuchen Hu Northeastern University at Qinghuangdao School of Control Engineering

In order to further improve the efficiency of indoor unmanned transport, a low-power and efficient navigation and positioning system is designed. The system combines the advantages of the detecting method of electromagnetic signals and the indoor positioning technology based on Bluetooth Low Energy(BTLE). By analyzing the magnetic field model, common inductance coils are used as a sensor to detect the magnetic field, and the differential steering mechanism of the motor is controlled by the tracking characteristics of the dual-inductive electromagnetic sensor. For GPS can not provide satisfactory indoor positioning results, on the basis of the electromagnetic tracking system combined with the indoor positioning technology based on spatial information mode, a stable and independent indoor positioning system is finally realized. And with the predetermined electromagnetic track crossing point, the dead reckoning accumulated error for signpost is revised. The experimental results show that the system can achieve stable operation, and the system design is reasonable and basically meets the design goals and users' needs.

关键词： Electromagnetic Sensor RSSI Indoor Positioning System Electromagnetic Tracking floyd algorithm

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Optimal Approach for the Eradication of Ebola

Optimal Approach for the Eradication of Ebola

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2015 International Conference on Fluid Power and Mechatronics

作者： HUANG Xiao-rong LV Wang-yong LIU Ju LIU Wan-li College of Mathematics and Software Science Sichuan Normal University

Iteration, floyd algorithm and genetic algorithm are used to optimize the eradication of Ebola. The iteration method is applied to estimate the quantity of the drugs needed. Then based on the floyd algorithm, the optimal locations of delivery is selected to find an optimal route. Minimizing the transport cost is used as objective function of scheduling model. The model should also satisfy some constraints. The GA is applied to find the optimal solution. The performance of the model can be measured by simulation.

关键词： Eradication of Ebola Iteration floyd algorithm Genetic algorithm

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