An Improved PSO-GWO Algorithm With Chaos and Adaptive Inertial Weight for Robot Path Planning
Frontiers in Neurorobotics, 2021 The traditional particle swarm optimization (PSO) path planning algorithm represents each particle as a path and evolves the particles to find an optimal path.
Xuezhen Cheng +4 more
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Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos
, 2017 Despite rapid advances in face recognition, there remains a clear gap between the performance of still image-based face recognition and video-based face recognition, due to the vast difference in visual quality between the domains and the difficulty of ...
Chandraker, Manmohan +5 more
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The Tensor Networks Anthology: Simulation techniques for many-body quantum lattice systems
, 2018 We present a compendium of numerical simulation techniques, based on tensor network methods, aiming to address problems of many-body quantum mechanics on a classical computer.
Gerster, Matthias +6 more
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Research on DV-Hop location algorithm based on range correction and improved gray wolf optimizer
物联网学报, 2021 Node location is an important problem in wireless sensor network.Although the location algorithm based on distance measurement has small positioning error, it has many limitations when applied to outdoor environments.Therefore, based on the original ...
Xiaoqiang ZHAO +5 more
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Improved Binary Grasshopper Optimization Algorithm for Feature Selection Problem
Entropy, 2022 The migration and predation of grasshoppers inspire the grasshopper optimization algorithm (GOA). It can be applied to practical problems. The binary grasshopper optimization algorithm (BGOA) is used for binary problems.
Gui-Ling Wang +4 more
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Joint Optical Flow and Temporally Consistent Semantic Segmentation
, 2016 The importance and demands of visual scene understanding have been steadily increasing along with the active development of autonomous systems. Consequently, there has been a large amount of research dedicated to semantic segmentation and dense motion ...
A Kundu +16 more
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Optimizing BiLSTM Network Attack Prediction Based on Improved Gray Wolf Algorithm
Applied Sciences, 2023 Aiming at the problems of low accuracy of network attack prediction and long response time of attack detection, bidirectional long short-term memory (BiLSTM) was used to predict network attacks. However, BiLSTM has the problems of difficulty in parameter setting and low accuracy of the prediction model.
Shaoming Qiu +4 more
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Hybrid Gradient Descent Grey Wolf Optimizer for Machine Learning Performance Enhancement
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)Advancements in machine learning have enabled the development of more accurate and efficient health prediction models. This study aims to improve diabetes prediction performance using the Support Vector Machine (SVM) model optimized with the Hybrid ...
Sri Rossa Aisyah Puteri Baharie +2 more
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Design on Universal Circuit Breaker via Improved Gray Wolf Optimization Algorithm
Mathematical Problems in Engineering, 2020 Miniaturization design of the universal circuit breaker is very necessary, but it is not enough to consider only the miniaturization in the design but also consider the energy consumption and breaking capacity of the universal circuit breaker. To this end, a comprehensive optimization design method in this paper is proposed and studied.
Shuidong Dai +3 more
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An Adaptive Control Based on Improved Gray Wolf Algorithm for Mobile Robots
Applied SciencesIn this paper, a novel intelligent controller for the trajectory tracking control of a nonholonomic mobile robot with time-varying parameter uncertainty and external disturbances in the case of tire hysteresis loss is proposed.
Haoran Xue, Shouyin Lu, Chengbin Zhang
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