Advances in Multimedia, 2022 In order to improve the cooperative operation scheduling effect of agricultural machinery, this article uses particle swarm neural network to study the cooperative operation scheduling algorithm of agricultural machinery and improves the cooperative ...
Wei Li
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Solving biobjective network flow problem associated with minimum cost-time loading [PDF]
Iranian Journal of Numerical Analysis and Optimization, 2020 We apply a primal-dual simplex algorithm for solving the biobjective min imum cost-time network flow problem such that the total shipping cost and the total shipping fixed time are considered as the first and second objective functions, respectively.
O. Baghani, S. Ghafoori
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An Algorithm for Choosing, Ordering a New Criteria of a Bi-Objective Flow Problem
Foundations of Computing and Decision Sciences, 2021 In this paper, we propose an algorithm which is based on many things: the notions well-known of the simplex network method, Ford Fulkerson’s algorithm and our new idea, which is >, applied on a bi-objective minimum cost flow problem.
Belkacem Salima Nait
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Online Identification of VLRA Battery Model Parameters Using Electrochemical Impedance Spectroscopy
Batteries, 2022 This paper introduces the use of a new low-computation cost algorithm combining neural networks with the Nelder–Mead simplex method to monitor the variations of the parameters of a previously selected equivalent circuit calculated from Electrochemical ...
Javier Olarte +5 more
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NETWORK SIMPLEX ALGORITHM ASSOCIATED WITH THE MAXIMUM FLOW PROBLEM [PDF]
Far East Journal of Mathematical Sciences (FJMS), 2018 13pages
Sennosuke Watanabe +2 more
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A 2-Layers Virtual Network Mapping Algorithm Based on Node Attribute and Network Simplex
IEEE Access, 2018 Network virtualization is one of the most important techniques to overcome Internet ossification, which can enable multiple networks to run on a common infrastructure.
Quan Zheng +4 more
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Micromachines, 2022 A multi-channel pressure scanner is an essential tool for measuring and acquiring various pressure parameters in aerospace applications. It is important to note, however, that the pressure sensor of each of these channels will drift significantly with ...
Huan Wang +3 more
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Set Cover Model with Path-Segment Concept to Determine the Optimum Rest Areas on Toll Road as the Location of Electric Vehicle Battery Charging Stations [PDF]
E3S Web of Conferences, 2023 The rapid adoption of electric vehicles (EVs), especially battery-based electric vehicles (BEVs), requires battery recharging facilities. Battery charging station (BCS) is an important component in EVs ecosystem.
Wayan Suletra I. +2 more
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A Hybrid Algorithm of GA + Simplex Method in the WSN Localization
International Journal of Distributed Sensor Networks, 2015 Localization provides the key support for wireless sensor networks (WSNs). In order to solve the large-error problem in the third phase and the poor position accuracy of the least square method in the weighted DV-Hop algorithm, a hybrid algorithm of GA +
Feng Wang +3 more
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Optimizing the Static and Dynamic Scheduling problem of Automated Guided Vehicles in Container Terminals [PDF]
Control and Optimization in Applied Mathematics, 2017 The Minimum Cost Flow (MCF) problem is a well-known problem in the area of network optimisation. To tackle this problem, Network Simplex Algorithm (NSA) is the fastest solution method. NSA has three extensions, namely Network Simplex plus Algorithm (NSA+)
Hassan Rashidi
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