Search Results - (automation OR automatizace) (machine OR machinery) learning algorithm based on genetics algorithms

A multiobjective evolutionary algorithm for achieving energy efficiency in production environments integrated with multiple automated guided vehicles by He, Lijun, Chiong, Raymond, Li, Wenfeng, Budhi, Gregorius Satia, Zhang, Yu

“… and total energy consumption of both machines and AGVs. To solve this problem, an effective multiobjective evolutionary algorithm (EMOEA) is developed…”
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Automated data processing for efficient development of multimodal machine learning models in tool wear detection by Valizadeh Sotubadi, Saleh, Mahjourian, Nazanin, Nguyen, Vinh

“… For this purpose, the ADP framework was designed based on a higher-level decision-making unit and a lower-level machine learning unit to select the best set of data processing methods, ML models…”
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Q-Learning-Based Hyperheuristic Evolutionary Algorithm for Dynamic Task Allocation of Crowdsensing by Ji, Jian-Jiao, Guo, Yi-Nan, Gao, Xiao-Zhi, Gong, Dun-Wei, Wang, Ya-Peng

“…Task allocation is a crucial issue of mobile crowdsensing. The existing crowdsensing systems normally select the optimal participants giving no consideration…”
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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 by 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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Dynamic prediction and multi-objective optimization on driving position of tunnel boring machine (TBM): an automated deep learning approach by Pan, Yue, Wang, Ziyi, Sun, Lin, Chen, Jin-Jian

“…This paper proposes an automated deep learning (AutoDL) framework for dynamic prediction and multi-objective optimization (MOO…”
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Asynchronous Particle Swarm Optimization-Genetic Algorithm (APSO-GA) Based Selective Harmonic Elimination in a Cascaded H-Bridge Multilevel Inverter by 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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Bearing Fault Diagnosis Based on Artificial Intelligence Methods: Machine Learning and Deep Learning by Ghorbel, Ahmed, Eddai, Sarra, Limam, Bouthayna, Feki, Nabih, Haddar, Mohamed

“…) methods, specifically machine learning and deep learning, for the diagnosis of bearing faults…”
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High-throughput microbial culturomics using automation and machine learning by Huang, Yiming, Sheth, Ravi U., Zhao, Shijie, Cohen, Lucas A., Dabaghi, Kendall, Moody, Thomas, Sun, Yiwei, Ricaurte, Deirdre, Richardson, Miles, Velez-Cortes, Florencia, Blazejewski, Tomasz, Kaufman, Andrew, Ronda, Carlotta, Wang, Harris H.

“… We develop a machine learning approach that leverages colony morphology and genomic data to maximize the diversity of microbes isolated and enable targeted picking of specific genera…”
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Aging prediction in single based propellants using hybrid strategy of machine learning and genetic algorithm by 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 by 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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RNA sequencing and swarm intelligence-enhanced classification algorithm development for blood-based disease diagnostics using spliced blood platelet RNA by Best, Myron G, In 't Veld, Sjors G J G, Sol, Nik, Wurdinger, Thomas

“… Here, we provide the wet-lab protocol for the generation of platelet RNA-sequencing libraries and the dry-lab protocol for the development of swarm intelligence-enhanced machine-learning-based classification algorithms…”
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An improved wrapper-based feature selection method for machinery fault diagnosis by Hui, Kar Hoou, Ooi, Ching Sheng, Lim, Meng Hee, Leong, Mohd Salman, Al-Obaidi, Salah Mahdi

“… Thus, machine learning has been adapted for machinery fault diagnosis. The quantity and quality of the input features, however, influence the fault classification performance…”
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Anomaly Detection IDS for Detecting DoS Attacks in IoT Networks Based on Machine Learning Algorithms by Altulaihan, Esra, Almaiah, Mohammed Amin, Aljughaiman, Ahmed

“…Widespread and ever-increasing cybersecurity attacks against Internet of Things (IoT) systems are causing a wide range of problems for individuals and…”
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Optimization of centrifugal pump performance and excitation force based on machine learning and enhanced non-dominated sorting genetic algorithm III by Haoqing, Jiang, Wei, Dong, Sucheng, Li, Fan, He

“…This study addresses the issue of excessive vibration in centrifugal pumps without compromising their performance by employing six machine learning methods…”
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Precision agriculture based on convolutional neural network in rice production nutrient management using machine learning genetic algorithm by Sakthipriya, S., Naresh, R.

“… We have developed an automated Convolutional Neural Network creation approach genetic algorithms approach to handling image classification…”
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A controller of robot constant force grinding based on proximal policy optimization algorithm by Wang, Qichao, Chen, Linlin, Sun, Qun, Wang, Chong, Wei, Yanxia

“… controller that based on proximal policy optimization was proposed. Training the controller model between grinding force difference and end-effector compensation displacement using the proximal policy optimization algorithm…”
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A new fruit fly optimization algorithm enhanced support vector machine for diagnosis of breast cancer based on high-level features by Huang, Hui, Feng, Xi’an, Zhou, Suying, Jiang, Jionghui, Chen, Huiling, Li, Yuping, Li, Chengye

“… In this study, an enhanced machine learning framework is established to diagnose the breast cancer…”
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Automatically Designing Network-Based Deep Transfer Learning Architectures Based on Genetic Algorithm for In-Situ Tool Condition Monitoring by 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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A novel hybrid wrapper–filter approach based on genetic algorithm, particle swarm optimization for feature subset selection by Moslehi, Fateme, Haeri, Abdorrahman

“… A hybrid filter-wrapper method is proposed in the present study for feature subset selection established with integration of evolutionary based genetic algorithms (GA…”
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The covariance intersection fusion estimation algorithm weighted by diagonal matrix based on genetic simulated annealing algorithm and machine learning by Liu, Jingang, Hao, Gang

“… Secondly, the genetic simulated annealing (GSA) algorithm is used for multi‐parameter optimization problem caused by diagonal matrix weights…”
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