Suchergebnisse - (automatic OR automation) machine learning algorithm based on (genetic OR genetics) algorithms

Flexible Automatic Design of GaN PA Based on Gaussian Process-Assisted Non-Dominated Sorting Genetic Algorithm von Wang, Weiwei, Sun, Bingjie, Chen, Shichang, Xu, Kuiwen, Cai, Jialin, Raffo, Antonio, Donato, Nicola, Crupi, Giovanni, Wang, Gaofeng

“… It employs a Gaussian process-assisted fast non-dominated sorting genetic algorithm (GP-NSGA-II) for both circuit synthesis and layout optimization …”
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Automatically Designing Network-Based Deep Transfer Learning Architectures Based on Genetic Algorithm for In-Situ Tool Condition Monitoring von Liu, Yuekai, Yu, Yaoxiang, Guo, Liang, Gao, Hongli, Tan, Yongwen

“… The limitation of in-situ TCM based on traditional deep learning lies in several aspects: the requirement of sufficient labeled data of health conditions, the empirically manual designed architecture, and the labor-intensive tuning of hyperparameters …”
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Hydrologically Informed Machine Learning for Rainfall‐Runoff Modeling: A Genetic Programming‐Based Toolkit for Automatic Model Induction von Chadalawada, Jayashree, Herath, H. M. V. V., Babovic, Vladan

“… Models of water resources systems are conceived to capture the underlying environmental dynamics occurring within watersheds. All such models can be regarded …”
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Medical Image Segmentation Using Automatic Optimized U-Net Architecture Based on Genetic Algorithm von Khouy, Mohammed, Jabrane, Younes, Ameur, Mustapha, Hajjam El Hassani, Amir

“… With the advent of deep learning, many manual design-based methods have been proposed and have shown promising results in achieving state-of-the-art performance in biomedical image segmentation …”
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Development of a Genetic Algorithm-Based Control Strategy for Fuel Consumption Optimization in a Mild Hybrid Electrified Vehicle’s Electrified Propulsion System von Filho, Roberto H. Q., Ruiz, Rodrigo P. M., Fernandes, Eisenhawer de M., Filho, Rosalvo B., Pimenta, Felipe C.

“… One of the biggest challenges for HEVs’ development is the complexity of the hybrid control system, knowing when to actuate the electric machine, and the optimum power delivery, plus the gearshift schedule becomes a hard optimization …”
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An Optimization Method for Multi-Robot Automatic Welding Control Based on Particle Swarm Genetic Algorithm von Chen, Lu, Tan, Jie, Wu, Tianci, Tan, Zengxin, Yuan, Guobo, Yang, Yuhao, Liu, Chiang, Zhou, Haoyu, Xie, Weisi, Xiu, Yue, Li, Gun

“… This paper introduces an optimization method for multi-robot automated control welding based on a Particle Swarm Genetic Algorithm (PSGA …”
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Hybrid multiobjective genetic algorithms for integrated dynamic scheduling and routing of jobs and automated-guided vehicle (AGV) in flexible manufacturing systems (FMS) environment von Umar, Umar Ali, Ariffin, M. K. A., Ismail, N., Tang, S. H.

“… The paper presents an algorithm for integrated scheduling, dispatching, and conflict-free routing of jobs and AGVs in FMS environment using a hybrid genetic algorithm …”
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HARNAS: Human Activity Recognition Based on Automatic Neural Architecture Search Using Evolutionary Algorithms von Wang, Xiaojuan, Wang, Xinlei, Lv, Tianqi, Jin, Lei, He, Mingshu

“… Human activity recognition (HAR) based on wearable sensors is a promising research direction …”
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Dual-Objective Mixed Integer Linear Program and Memetic Algorithm for an Industrial Group Scheduling Problem von Zhao, Ziyan, Liu, Shixin, Zhou, MengChu, Abusorrah, Abdullah

“… -based nondominated sorting genetic algorithm II and two single-solution-based improvement methods, i.e …”
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A Unified Framework for Automatic Distributed Active Learning von Chen, Xu, Wujek, Brett

“… First, automated graph-based semi-supervised learning is conducted by aggregating the proposed cost functions from different compute nodes and jointly optimizing hyperparameters in both the …”
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Asynchronous Particle Swarm Optimization-Genetic Algorithm (APSO-GA) Based Selective Harmonic Elimination in a Cascaded H-Bridge Multilevel Inverter von Memon, Mudasir Ahmed, Siddique, Marif Daula, Mekhilef, Saad, Mubin, Marizan

“… In this article, a hybrid asynchronous particle swarm optimization-genetic algorithm (APSO-GA …”
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Kinetic study in an automatic continuous‐flow photochemical platform with machine learning von Wang, Yuhan, Shen, Chong, Qiu, Min, Shang, Minjing, Su, Yuanhai

“… Then, we built an automatic platform, which included a photomicroreactor, a continuously controlled pump, a high‐power UV …”
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An automatic software test-generation method to discover the faults using fusion of machine learning and horse herd algorithm von Arasteh, Bahman, Arasteh, Keyvan, Ghaffari, Ali

“… A time- and cost-effective method has been suggested in this research to produce test data automatically by utilizing machine learning and horse herd optimization algorithms …”
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Comparative optimization of wire-cut EDM parameter for enhancing surface finish and machining time on stainless steel: a machine learning, genetic algorithms, teaching–learning-based optimization, and multi-objective Jaya approach von Siyoum, Yitayal Belew, Kindie, Fikir Gashaw, Gebeyehu, Mebratu Assefa, Chanie, Sewale Enyew, Yeshiwas, Teshager Awoke, Zelalem, Yilkal Azene

“… –learning-based optimization (TLBO), and multi-objective Jaya (MO-Jaya) algorithms, was compared to identify the most efficient parameter tuning methods …”
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Automatic classification of epilepsy types using ontology-based and genetics-based machine learning von Kassahun, Yohannes, Perrone, Roberta, De Momi, Elena, Berghöfer, Elmar, Tassi, Laura, Canevini, Maria Paola, Spreafico, Roberto, Ferrigno, Giancarlo, Kirchner, Frank

“… This work aims at developing a fully automatic classifier of epileptic types and their localization using ictal symptoms and machine learning methods …”
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A Hybrid Automatic System for the Diagnosis of Lung Cancer Based on Genetic Algorithm and Fuzzy Extreme Learning Machines von Daliri, Mohammad Reza

“… The proposed method is based on combination of genetic algorithm (GA) for the feature selection and newly proposed approach, namely the extreme learning machines (ELM …”
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AI-based modeling and data-driven evaluation for smart manufacturing processes von Ghahramani, Mohammadhossein, Qiao, Yan, Zhou, Meng Chu, O'Hagan, Adrian, Sweeney, James

“… Embracing machine learning and artificial intelligence to take advantage of manufacturing data can lead to efficient and intelligent automation …”
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Aging prediction in single based propellants using hybrid strategy of machine learning and genetic algorithm von Khalid, Faizan, Aslam, Muhammad Nouman, Ghani, Muhammad Abdaal, Ahmad, Nouman, Abdullah, Sattar, Khurram

“… A hybrid strategy of genetic algorithm and ML models including support vector machine, ensemble trees, Gaussian process, and regression tree is combined to optimize SBPs aging …”
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Genetic Algorithm-Based Ensemble Hybrid Sparse ELM for Grasp Stability Recognition With Multimodal Tactile Signals von Yi, Zhengkun, Xu, Tiantian, Shang, Wanfeng, Li, Weimin, Wu, Xinyu

“… In this article, we extract tactile features from multimodal tactile signals and propose a novel ensemble approach named genetic algorithm-based ensemble hybrid sparse extreme learning machine (GA-EHSELM …”
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Benchmarking Biologically-Inspired Automatic Machine Learning for Economic Tasks von Lazebnik, Teddy, Fleischer, Tzach, Yaniv-Rosenfeld, Amit

“… In order to bridge this gap, automatic machine learning (AutoML) models have been developed, allowing non-experts to efficiently use advanced ML models with their data …”
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