Results 11 to 20 of about 28,590 (257)
Improved Grey Wolf Optimization Algorithm Based on Hyperbolic Tangent Inertia Weight
The Grey Wolf Optimization Algorithm (GWO) replicates the leadership and foraging mechanisms of the natural grey wolf and excels in solving problems in a variety of domains.
Weiming Lin
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The efficiency of PV systems can be improved by accurate estimation of PV parameters. Parameter estimation of PV cells and modules is a challenging task as it requires accurate operation of PV cells and modules followed by an optimization tool that ...
Arooj Tariq Kiani +6 more
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A comfortable indoor environment contributes to a better quality of life and wellbeing for its occupants. The indoor temperature, lighting, and air quality are the main controlling factors of user comfort levels.
Farah Nur Arina Baharudin +4 more
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Independent effects of adding weight and inertia on balance during quiet standing
Background Human balance during quiet standing is influenced by adding mass to the body with a backpack, with symmetrically-applied loads to the trunk, or with obesity.
Costello Kerry +2 more
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Determining a reasonable main cable curve is the foundation of suspension bridge design, and the accuracy and efficiency of the curve-finding problem are key to the design of a suspension bridge.
Zhaolan Wei +6 more
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AdPSO: Adaptive PSO-Based Task Scheduling Approach for Cloud Computing
Cloud computing has emerged as the most favorable computing platform for researchers and industry. The load balanced task scheduling has emerged as an important and challenging research problem in the Cloud computing.
Said Nabi +3 more
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PMDC Motor Parameter Estimation Using Bio-Inspired Optimization Algorithms
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
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
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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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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