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

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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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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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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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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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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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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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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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 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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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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Dual-Objective Mixed Integer Linear Program and Memetic Algorithm for an Industrial Group Scheduling Problem by 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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Indoor Genetic Algorithm-Based 5G Network Planning Using a Machine Learning Model for Path Loss Estimation by Hervis Santana, Yosvany, Martinez Alonso, Rodney, Guillen Nieto, Glauco, Martens, Luc, Joseph, Wout, Plets, David

“… set of candidate deployment solutions. Out of necessity, a heuristic network planning algorithm is then typically…”
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Advanced orthogonal opposition‐based learning‐driven dynamic salp swarm algorithm: Framework and case studies by Wang, Zongshan, Ding, Hongwei, Yang, Jingjing, Wang, Jie, Li, Bo, Yang, Zhijun, Hou, Peng

“… This paper presents an orthogonal quasi‐opposition‐based learning‐driven dynamic SSA (OBDSSA) for solving global optimization problems…”
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Learning-Based Genetic Algorithm to Schedule an Extended Flexible Job Shop by Cao, ZhengCai, Lin, ChengRan, Zhou, MengChu, Wen, XiaoHao

“… To find its high-quality solution in a reasonable time, a learning-based genetic algorithm (LGA…”
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Sustainable ductile iron design: Leveraging machine learning and genetic algorithms for critical raw materials reduction by Ferro, P., Spiller, S., Tang, K., Berto, F., Bonollo, F.

“…One of this century's key challenges is ensuring the supply of critical raw materials essential for economic stability. These materials face supply risks due…”
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Gold price forecasting research based on an improved online extreme learning machine algorithm by Weng, Futian, Chen, Yinhao, Wang, Zheng, Hou, Muzhou, Luo, Jianshu, Tian, Zhongchu

“… Thus, the intelligence prediction models need to be applied to price prediction. On the basis of long-term collected daily gold, the study proposes a novel genetic algorithm regularization online extreme learning machine (GA-ROSELM…”
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