scholarly journals Optimal path selection of innovation resource allocation in China’s regions with shared inputs

2021 ◽  
pp. 1-24
Author(s):  
Zhiwen Zhang ◽  
Zilong Wang ◽  
Yongfen Zhu
Keyword(s):  
Resource Allocation ◽  
Optimal Path ◽  
Path Selection ◽  
Shared Inputs ◽  
Selection Of

AN IMPLEMENTATION OF EFFICIENT PATH SELECTION METHOD FOR SUCCESSFUL DATA TRANSMISSION IN MOBILE AD HOC NETWORKS

2021 ◽  
Vol 12 (1) ◽  
pp. 36-48
Author(s):  
Arjun Jadhaw ◽  
◽  
Vikrant Sharma
Keyword(s):  
Ad Hoc ◽  
Routing Algorithm ◽  
Optimal Path ◽  
Network Routing ◽  
Path Selection ◽  
Network Simulator ◽  
Hop Count ◽  
Mobile Ad Hoc ◽  
Hoc Networks ◽  
Selection Of

Routing is a process of forwarding the data from a known source to the destination. In this procedure, the data might travel during some in-between paths, and there exist a required to select the best probable best possible nodes to forward the data. This best selection of nodes will permit to achieve a high presentation in the network. Big amount of worked has been carried out to find the best pathway in the network routing to progress its effectiveness and to eliminate overcrowding problems. A good routing algorithm should be able to find an optimal path and it must be simple. It also must have low overhead, and be robust and stable, converging rapidly, and must remain flexible. Routing in MANET by means of the direct pathway metric is not a sufficient situation to construct high quality pathway, since minimum hop count routing frequently chooses routes that have considerably less capacity than the best pathway that live in the network. In this article, we suggest a mechanism to prefer the routing protocol based on manifold measure like Throughput, PDR, energy expenditure etc. These paths are quite resourceful. Network presentation will be raise by using these paths. The efficiency of our mechanism is illustrated by simulations conducted using network simulator ns-2.

Adjustment of Regional Industrial Structure and Selection of Optimal Path Technology Under the Control of Environment

2017 ◽  
Vol 14 (1) ◽  
pp. 524-528
Author(s):  
Yi Liu ◽  
Philip Lee
Keyword(s):  
Industrial Structure ◽  
Low Cost ◽  
Optimal Path ◽  
Local Environment ◽  
High Energy ◽  
Path Selection ◽  
Analytic Hierarchy ◽  
Selection Of ◽  
Regional Industrial Structure ◽  
Adjustment Programs

The analytic hierarchy model was established to analyze the main problem existing in industrial structure, and then according to the basic national conditions of China, which is serious environmental pollution, high energy consumption and low cost, we found out the solution according with the Construction of China’s 11th five-year plan. We also researched particularly the mechanism of path selection and optimal of regional industrial structure under the control of environment, we found that the Adjustment of Regional Industrial Structure and Selection of Optimal Path needed to accord their needs and technical support in the regions, combining the Structure and problems of local industrial structure to make adjustment programs. Last, according to the adjustment programs, we established the optimal adjustment path, it helped to protect the local environment and promote economic growth.

scholarly journals The Best Path Analysis in Military Highway Transport Based on DEA and Multiobjective Fuzzy Decision-Making

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Wu Juan ◽  
Lu Huapu ◽  
Sun Xu ◽  
Liu Xianfeng ◽  
Yang Huijun
Keyword(s):  
Decision Making ◽  
Search Algorithm ◽  
Optimal Path ◽  
Path Selection ◽  
Transport Cost ◽  
Fuzzy Decision Making ◽  
Data Envelopment ◽  
Fuzzy Decision ◽  
Transport Path ◽  
Selection Of

Military transport path selection directly affects the transport speed, efficiency, and safety. To a certain degree, the results of the path selection determine success or failure of the war situation. The purpose of this paper is to propose a model based on DEA (data envelopment analysis) and multiobjective fuzzy decision-making for path selection. The path decision set is established according to a search algorithm based on overlapping section punishment. Considering the influence of various fuzzy factors, the model of optimal path is constructed based on DEA and multitarget fuzzy decision-making theory, where travel time, transport risk, quick response capability, and transport cost constitute the evaluation target set. A reasonable path set can be calculated and sorted according to the comprehensive scores of the paths. The numerical results show that the model and the related algorithms are effective for path selection of military transport.

scholarly journals Evaluation and Selection of Urban Public Transport Paths based on Entroy Weight TOPSIS and Hamilton Cycle

2021 ◽  
Author(s):  
HongHan Bei ◽  
ShengYue Fang ◽  
Xu Zhang
Keyword(s):  
Public Transport ◽  
Public Transportation ◽  
Rapid Development ◽  
Optimal Path ◽  
Hamilton Cycle ◽  
Path Selection ◽  
The Public ◽  
Urban Public Transport ◽  
Beijing China ◽  
Selection Of

Abstract The public transportation system of cities, including subway and public transportation, is becoming more and more perfect. With the rapid development of urban public transport, the path selection considering multiple factors has become a new problem. Based on the optimization model, we take urban public transport operators and travelers as the objects, and use the entroy weight TOPSIS method to comprehensively evaluate the feasible lines and paths between multiple OD pairs. Besides, the optimal path to traverse all nodes was solved by Hamilton cycle problem algorithm, which can also provide reference for both operators and travelers. According to the latest urban public transport data in 2021, we select Beijing, China as the empirical research object. This paper chooses the existing public transport network of Beijing to verify, and selects the optimal path of 5 nodes and 10 paths to traverse all nodes.

Simulation of public art communication in colleges based on smart cloud platform and artificial intelligence algorithm

2020 ◽  
pp. 1-11
Author(s):  
Zhang Yingying
Keyword(s):  
Artificial Intelligence ◽  
Public Art ◽  
Optimal Path ◽  
Colleges And Universities ◽  
Cloud Platform ◽  
Current Transmission ◽  
Artificial Intelligence Algorithm ◽  
Offset Coefficient ◽  
Network Status ◽  
Selection Of

Public art communication in colleges and universities needs to be launched with the support of artificial intelligence systems. According to the current situation of public art communication in colleges and universities, this paper builds a smart cloud platform for public art communication in colleges and universities with the support of artificial intelligence algorithms. Moreover, this paper introduces the bandwidth offset coefficient to judge the change of network throughput, introduces the slice download rate difference to first judge the consistency change trend of bandwidth, and then further proposes the calculation method of bandwidth prediction value by situation. In addition, this paper proposes a flexible transmission mechanism based on smart collaborative networks. Through in-depth perception of network status and component behavior, this mechanism implements the selection of the optimal path in the network according to the current network status and user service requirements to complete the transmission of service resources. If the current transmission path fails, the mechanism should ensure the continuity and reliability of the service. The research results show that the system constructed in this paper has good performance and can be applied to practice.

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