Results 21 to 30 of about 251,193 (292)
PMDC Motor Parameter Estimation Using Bio-Inspired Optimization Algorithms
IEEE Access, 2017 The precise estimation of the motor parameter is essential to design the appropriate controller. The main goal of this paper is to estimate the parameters of permanent magnet dc (PMDC) motor used in a wheelchair, applying standard as well as a dynamic ...
V. Sankardoss, P. Geethanjali
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Research on Bearing Fault Diagnosis Method Based on IPSO-RVM
Journal of Harbin University of Science and Technology, 2022 Aiming at the problems of poor classification effect of support vector machine in traditional particle swarm optimization support vector machine and inaccuracy of traditional particle swarm optimization in bearing fault diagnosis, an improved particle ...
ZHANG Han +4 more
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The inertia of weighted unicyclic graphs
Linear Algebra and its Applications, 2014 Let $G_w$ be a weighted graph. The \textit{inertia} of $G_w$ is the triple $In(G_w)=\big(i_+(G_w),i_-(G_w), $ $ i_0(G_w)\big)$, where $i_+(G_w),i_-(G_w),i_0(G_w)$ are the number of the positive, negative and zero eigenvalues of the adjacency matrix $A(G_w)$ of $G_w$ including their multiplicities, respectively.
Yu, Guihai +2 more
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Implementation and evaluation of a simulation system based on particle swarm optimisation for node placement problem in wireless mesh networks [PDF]
, 2016 With the fast development of wireless technologies, wireless mesh networks (WMNs) are becoming an important networking infrastructure due to their low cost and increased high speed wireless internet connectivity. This paper implements a simulation system
Barolli, Leonard +4 more
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Discrete Dynamics in Nature and Society, 2006 This paper presents an alternative and efficient method for solving the optimal control of single-stage hybrid manufacturing systems which are composed with two different categories: continuous dynamics and discrete dynamics.
M. Senthil Arumugam, M. V. C. Rao
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An Optimal Solution for Smooth and Non-Smooth Cost Functions-Based Economic Dispatch Problem
Energies, 2020 A modified particle swarm optimization and incorporated chaotic search to solve economic dispatch problems for smooth and non-smooth cost functions, considering prohibited operating zones and valve-point effects is proposed in this paper.
Chun-Yao Lee, Maickel Tuegeh
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Particle Swarm Optimization with Adaptive Inertia Weight [PDF]
International Journal of Machine Learning and Computing, 2015 In this paper, a new PSO algorithm with adaptive inertia weight is introduced for global optimization. The objective of the study is to balance local search and global search abilities and alternate them through the algorithm progress. For this, an adaptive inertia weight is introduced using a feedback on particles' best positions.
Kessentini, Sameh, Barchiesi, Dominique
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Particle Swarm Optimization with Various Inertia Weight Variants for Optimal Power Flow Solution
Discrete Dynamics in Nature and Society, 2010 This paper proposes an efficient method to solve the optimal power flow problem in power systems using Particle Swarm Optimization (PSO). The objective of the proposed method is to find the steady-state operating point which minimizes the fuel cost ...
Prabha Umapathy +2 more
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Research on multi-UAVs route planning method based on improved bat optimization algorithm
Cogent Engineering, 2023 In a complex navigation environment, it is very important to solve the problems of multiple constraints and complex calculations in the route planning process of multiple reconnaissance unmanned aerial vehicles (UAVs) to improve the flight reconnaissance
Yongcheng Wang +3 more
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A Novel Komodo Mlipir Algorithm and Its Application in PM2.5 Detection
Atmosphere, 2022 The paper presents an improved Komodo Mlipir Algorithm (KMA) with variable inertia weight and chaos mapping (VWCKMA). In contrast to the original Komodo Mlipir Algorithm (KMA), the chaotic sequence initialization population generated by Tent mapping and ...
Linxuan Li, Ming Zhao
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