Uncertainty theory provides a new tool to deal with the shortest path problem with nondeterministic arc lengths. With help from the operational law of uncertainty theory, this paper gives the uncertainty distribution ...
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Uncertainty theory provides a new tool to deal with the shortest path problem with nondeterministic arc lengths. With help from the operational law of uncertainty theory, this paper gives the uncertainty distribution of the shortest path length. Also, it investigates solutions to the a-shortest path and the most shortest path in an uncertain network. It points out that there exists an equivalence relation between the alpha-shortest path in an uncertain network and the shortest path in a corresponding deterministic network, which leads to an effective algorithm to find the alpha-shortest path and the most shortest path. Roughly speaking, this algorithm can be broken down into two parts: constructing a deterministic network and then invoking the dijkstra algorithm. (C) 2011 Elsevier Ltd. All rights reserved.
From the view of comprehensive consideration, this considers the uncertainty of transportation time and cost due to seasonality and human factors, and a multi-objective chance constrained programming model with minimu...
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From the view of comprehensive consideration, this considers the uncertainty of transportation time and cost due to seasonality and human factors, and a multi-objective chance constrained programming model with minimum transportation time and cost was established. Due to the complexity of the problem, traditional algorithms are not enough, and more efficient optimization algorithms are still needed. According to the characteristics of the problem, the beetle antennae search (BAS) with one beetle is changed into multiple beetles, and dijkstra algorithm is embedded, a hybrid beetle swarm optimization algorithm (HBSO) is designed to solve the problem, and the case analysis and algorithm analysis are made for three different examples;the datasets are referenced in literature (Lu et al. in Computer Integrated Manufacturing Systems 5:10-14, 2020). Under the three examples, the influence of the customer on the time and cost is different. The confidence level and weight of cost and time have great influence on the decision results. 4PL provider will not affect the choice of transportation route, but will change the choice of 3PL supplier and transportation mode. HBSO is an effective method to solve this problem. It is proved on efficiency, effectiveness and reliability in experiments by comparing with GA, PSO and BAS.
In view of the problems of low routing efficiency, complex control process, and difficult network management in big data environment in the traditional integrated space-terrestrial network, in the paper, we propose a ...
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In view of the problems of low routing efficiency, complex control process, and difficult network management in big data environment in the traditional integrated space-terrestrial network, in the paper, we propose a satellite network architecture called software-defined information centric satellite networking (SDICSN) based on software-defined networking (SDN) and information-centric networking (ICN), and we design a virtual node matrix routing algorithm (VNMR) under the SDICSN architecture. The SDICSN architecture realizes the flexibility of network management and business deployment through the features of the separation of forwarding and controlling by the SDN architecture and improves the response speed of requests in the network by the centric of "content" as the ICN idea. According to the periodicity and predictability of the satellite network, the VNMR algorithm obtains the routing matrix through the relative orientation of the source and destination nodes, thus reducing the spatial complexity of the input matrix of the dijkstra algorithm and then reducing the time complexity of the routing algorithm. For forwarding information base (FIB), the mechanism of combination of event driven and polling can be quickly updated in real time. Finally, the advantages of the SDICSN architecture in routing efficiency, request delay, and request aggregation are verified by simulation.
In this paper, we propose a method for finding the optimal route for a specific train from a station to another one in the Spanish railway network (or any railway network involving different incom patible features lik...
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In this paper, we propose a method for finding the optimal route for a specific train from a station to another one in the Spanish railway network (or any railway network involving different incom patible features like gauges, electrification and signaling systems). The complexity of the Spanish railway infrastructure makes it difficult to give an estimation of the fastest route of a train from a given station to another. Indeed, very unintuitive situations may happen. The problem of finding fastest routes is typically modeled by a graph where nodes represent stations and edges represent railway sections. However, this approach is not suitable for the Spanish railway network. In order to solve the problem of calculating the fastest routes, we will propose here a novel approach based on modeling the railway network through a different graph whose nodes represent railway sections. (C) 2017 Elsevier Inc. All rights reserved.
A method of improving road traffic safety that implies constructing a route bypassing obstacles identified on a road map (graph) is considered on the example of Moscow, Russia. The obstacles are the edges of the road ...
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A method of improving road traffic safety that implies constructing a route bypassing obstacles identified on a road map (graph) is considered on the example of Moscow, Russia. The obstacles are the edges of the road graph containing a statistically significant number of road traffic accidents (RTA). To check the routing efficiency, the indicator proposed by the authors earlier-the relative risk ratio-is used that equals the ratio of the number of RTA along the route with the obstacles taken into account to the number of RTA counted along the original route constructed without the obstacles taken into account. Avoiding obstacles is shown to help reduce the relative risk ratio by 9-31% (depending on the length of the original route) by increasing the average length of the route by 6-11% and increasing the average number of traversable vertices of the road graph by 6-28%.
A new method called ALGrId (Anti-Leak GRain IDentification) is proposed for the detection of sub-grains beyond the relative angular resolution of Electron Backscatter Diffraction maps. It does not use any additional i...
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A new method called ALGrId (Anti-Leak GRain IDentification) is proposed for the detection of sub-grains beyond the relative angular resolution of Electron Backscatter Diffraction maps. It does not use any additional information such as Kikuchi Pattern Quality map nor need data filtering. It uses a modified dijkstra algorithm which seeks the continuous set of boundaries having the highest average disorientation angle. (C) 2014 Elsevier Inc. All rights reserved.
This study is motivated by the need for a micro-geographic information system (GIS) to represent and analyze 3D spatial data for the plotting of fire-fighting search and rescue routes within buildings. The GIS uses a ...
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This study is motivated by the need for a micro-geographic information system (GIS) to represent and analyze 3D spatial data for the plotting of fire-fighting search and rescue routes within buildings. The GIS uses a 3D geometric network model (GNM) and the dijkstra algorithm to consider smoke movement during different times of a building fire. Therefore, the route calculation algorithm can avoid routes through heavy smoke within buildings. In addition, when firefighters must search an area to find victims, the GNM and Ant Colony Optimization are applied to find the shortest path that passes through each room of the area. Finally, the GNM is implemented to perform a search and rescue route analysis from an actual underground station. The proposed method can not only provide the shortest safe route within a building but can also minimize the time required to search for potential victims. (C) 2011 Elsevier Ltd. All rights reserved.
Optical time-division multiplexing (O-TDM) networks can provide a finer bandwidth granularity than wavelength-division multiplexing networks, and will play an important role in future all-optical networks. Since optic...
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Optical time-division multiplexing (O-TDM) networks can provide a finer bandwidth granularity than wavelength-division multiplexing networks, and will play an important role in future all-optical networks. Since optical buffers are expensive, a small buffer size will be the characteristic of O-TDM systems. This paper analyzes the problem of routing and time-slot assignment in O-TDM networks. The results lead to the proposal of a dijkstra-like shortest-path routing scheme that intends to maximize the performance of an optical network with a small number of optical buffers. Performance evaluation of the proposed scheme is also presented.
This paper proposes a three-layer hierarchical voltage control strategy for distribution networks considering the customized charging navigation of electric vehicles (EVs). In the first layer, optimal power flow (OPF)...
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This paper proposes a three-layer hierarchical voltage control strategy for distribution networks considering the customized charging navigation of electric vehicles (EVs). In the first layer, optimal power flow (OPF) is performed to determine the day-ahead dispatch of on-load tap changer (OLTC) and capacitor banks (CBs). The optimization problem is formulated as a mixed-integer second-order cone programming (MISOCP) which can be effectively solved. In the second layer, a customized charging navigation strategy is proposed to conduct the charging behaviors of EVs based on their own preferences. The novel preference modes are designed for different types of EV users to include not only the charge and time cost, but also the willingness to participate in voltage regulation service (VRS). The navigation problem is formulated as a mixed-integer linear programming (MILP), which is then solved by CPLEX solvers embedded with dijkstra algorithm. In the third layer, charging stations measure local voltage and regulate the charging power of EVs to mitigate voltage violation. The charging selection and power allocation process are performed dynamically considering the mutual effect between the second and third layers. The economic compensation mechanism is also designed for both EV users and charging stations. The proposed approach is tested on the IEEE 33-bus distribution system coupled with a 24-bus transportation system, and simulation results verify the effectiveness both in charging navigation and mitigating voltage violation.
In 5-axis machining, the existing tool's axis vector optimization methods are limited since they only consider the global collision between the tool and the workpiece while aiming at the ball-nosed cutter. A multi...
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In 5-axis machining, the existing tool's axis vector optimization methods are limited since they only consider the global collision between the tool and the workpiece while aiming at the ball-nosed cutter. A multi-factor vector optimization method for the face milling cutter shaft is proposed to solve this problem. This method comprehensively considers machining global collision, cutting force, the angular displacement of a rotating shaft, and angular speed. An improved global collision detection method of cutter axis vector based on the NURBS surface principle is developed, and a global collision detection algorithm is employed to determine the cutter machining global collision. The relationship model between the end-milling cutter axis vector and cutting force variation is established to optimize the cutting force. In addition, an optimization model of angular displacement and velocity of the machine tool's rotating axis is proposed based on dijkstra optimal path algorithm. The CAM software simulation and experimental validation are conducted using a large propeller with a complex surface. The tool's axis vector optimization algorithm is applied to the propeller results. Comparing the tool's axis vector optimization results to those obtained without optimization, it is discovered that the surface workpiece's machining quality has significantly increased.
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