Genetic Algorithm (GA)-Based Inclinometer Layout Optimization [PDF]
Sensors, 2015 This paper presents numerical simulation results of an airflow inclinometer with sensitivity studies and thermal optimization of the printed circuit board (PCB) layout for an airflow inclinometer based on a genetic algorithm (GA).
Weijie Liang +4 more
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OPTIMUM MULTILEVEL THRESHOLDING HYBRID GA-PSO BY ALGORITHM [PDF]
Jurnal Ilmu Komputer dan Informasi, 2013 The conventional multilevel thresholding methods are efficient for bi-level thresholding. However, these methods are computationally very expensive for use in multilevel thresholding because the search of optimum threshold do in depth to optimize the ...
dwi taufik hidayat +2 more
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Analysis of Cryptocurrency Using a Genetic Algorithm (GA)
Proceedings, 2023 Finance, in particular, is tightly correlated with information-technology development. Digital currency or cryptocurrency is the outcome of the advancement of financial technology. As a means of payment over the internet, digital currencies are beginning
Yulius Eka Agung Seputra
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Efficient Mask Optimization for DMD-Based Maskless Lithography Using a Genetic–Hippo Hybrid Algorithm [PDF]
MicromachinesMask optimization is a critical technique for enhancing imaging performance in digital micromirror device (DMD)-based maskless lithography. Conventional algorithms, however, often suffer from slow convergence and limited adaptability, particularly when ...
Zhiyong Chen +5 more
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Skin lesion segmentation method for dermoscopic images with convolutional neural networks and semantic segmentation [PDF]
Компьютерная оптика, 2021 With the development of economy, the distribution problem of logistics becomes more and more complex. Based on the traffic network data, this study analyzed the vehicle routing problem (VRP), designed a dynamic vehicle routing problem with time window ...
H.H. Li , H.R. Fu, W.H. Li
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Study of Principle Component Analysis and Learning Vector Quantization Genetic Neural Networks [PDF]
Engineering and Technology Journal, 2009 In this work, the Genetic Algorithm (GA) is used to improve the performance ofLearning Vector Quantization Neural Network (LVQ-NN), simulation results show thatthe GA algorithm works well in pattern recognition field and it converges much fasterthan ...
Mazin Z. Othman, Arif A. Al-Qassar
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Extended Evolutionary Algorithms with Stagnation-Based Extinction Protocol
Applied Sciences, 2021 Extinction has been frequently studied by evolutionary biologists and is shown to play a significant role in evolution. The genetic algorithm (GA), one of popular evolutionary algorithms, has been based on key concepts in natural evolution such as ...
Gan Zhen Ye, Dae-Ki Kang
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Compressor Performance Prediction Based on the Interpolation Method and Support Vector Machine
Aerospace, 2023 Compressors are important components in various power systems in the field of energy and power. In practical applications, compressors often operate under non-design conditions.
Lingfeng Zhong +5 more
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Genetic Nelder-Mead neural network algorithm for fault parameter inversion using GPS data
Geodesy and Geodynamics, 2022 The traditional genetic algorithm (GA) has unstable inversion results and is easy to fall into the local optimum when inverting fault parameters. Therefore, this article considers the combination of GA with other non-linear algorithms in order to improve
Leyang Wang, Ranran Xu, Fengbin Yu
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Underwater Acoustic DOA Estimation of Incoherent Signal Based on Improved GA-MUSIC
IEEE Access, 2023 The problem of poor real-time capability, a large number of traversals and the long operation time of the MUSIC algorithm bring great difficulties to the application of DOA estimation.
Chaofeng Lan +5 more
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