Modification of the genetic algorithm for comprehensive topological optimization of the synchronous motors rotor by T. I. Petrov

“…PMSM have smaller weight and size parameters, which allows them to be used in a wider field of application, for example, in household appliances, robots and many other drives.TARGET. The aim is to develop a methodology for topological complex optimization of the engine design, based on a genetic algorithm.METHODS. …”
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Cloud Data Security through BB84 Protocol and Genetic Algorithm by Jaydip Kumar, Vipin Saxena

“…Though cloud computing has many advantages to outsourcing an organization’s information, but the strong security is the main aspect of cloud computing. …”
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A new binary grasshopper optimization algorithm for feature selection problem by Haouassi Hichem, Merah Elkamel, Mehdaoui Rafik, Maarouk Toufik Mesaaoud, Chouhal Ouahiba

“…The grasshopper optimization algorithm is one of the recently population-based optimization techniques inspired by the behaviours of grasshoppers in nature. …”
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An Optimal Distillation Process for Turpentine Separation Using a Firefly Algorithm by Gustavo Mendes Platt, Otávio Knevitz de Azevedo, Francisco Bruno Souza Oliveira

“…The results show that the tool developed—together with the Firefly algorithm—is capable of obtaining optimized results (although there is no guarantee of a global optimum) from a small set of initial design configurations.…”
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A novel meta-heuristic algorithm based on candidate cooperation and competition by Yue Cong, Bingnan Yang, Jie Wei

“…Abstract Traditional meta-heuristic algorithms are often inspired by natural phenomena or biological behaviors, while relatively few are based on human social behavior. …”
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Machine Learning Algorithms for Prediction of Survival Curves in Breast Cancer Patients by Roqia Saleem Awad Maabreh, Malik Bader Alazzam, Ahmed S. AlGhamdi

“…However, because they are just mathematical equations, they have flaws that limit the quality of their output. The main goal of this study is to find the best machine learning algorithms for predicting the individualised survival of breast cancer patients, as well as the most appropriate treatment, and to propose new numerical variable stratifications. …”
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Early Warning of Financial Risk Based on K-Means Clustering Algorithm by Zhangyao Zhu, Na Liu

“…The fragility of financial system and the destructiveness of financial crisis make it extremely important to build a good financial risk early-warning mechanism. The main idea of the K-means clustering algorithm is to gradually optimize clustering results and constantly redistribute target dataset to each clustering center to obtain optimal solution; its biggest advantage lies in its simplicity, speed, and objectivity, being widely used in many research fields such as data processing, image recognition, market analysis, and risk evaluation. …”
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Partial Differential Equations-Based Iterative Denoising Algorithm for Movie Images by Pingli Sun, Chenxia Wang, Min Li, Lanqi Liu

“…Noise reduction techniques are important preprocessing processes in many video processing applications, and its main goal is to reduce the noise contained in a video image while preserving as much of its edge and texture information as possible. …”
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Application of Artificial Intelligence with Ant Colony Algorithm in construction projects schedule by Kiana Ahghari

“…Today, using project management methods and tools to realize the goals of many organizations and companiesIt is essential. …”
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A Solution Quality Assessment Method for Swarm Intelligence Optimization Algorithms by Zhaojun Zhang, Gai-Ge Wang, Kuansheng Zou, Jianhua Zhang

“…Therefore, there are still many problems to be solved. One problem is how to quantify the performance of algorithm in finite time, that is, how to evaluate the solution quality got by algorithm for practical problems. …”
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Improved Hypernymy Detection Algorithm Based on Heterogeneous Graph Neural Network by Li Ren, Jing Huang, Hai-Tao Jia, Shu-Bao Sun, Kai-Shi Wang, Yi-Le Wu

“…These tasks often require understanding the semantic relations between concepts or entities in text for more accurate analysis and reasoning. Currently, algorithms for identifying and detecting hyponymy–hypernymy semantic relations face two main challenges: first, candidate hyponymy–hypernymy relation tuples do not exist in the same contextual sentence, failing to meet the co-occurrence requirement; second, distributed algorithms have issues with lexical memory. …”
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Systems and Algorithms for Wireless Sensor Networks Based on Animal and Natural Behavior by Sandra Sendra, Lorena Parra, Jaime Lloret, Shafiullah Khan

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A simple and efficient algorithm for genome‐wide homozygosity analysis in disease by Wei Liu, Jinhui Ding, Jesse Raphael Gibbs, Sue Jane Wang, John Hardy, Andrew Singleton

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Dynamic FastMap: An Efficient Algorithm for Spatiotemporal Embedding of Dynamic Graphs by Omkar Thakoor, T. K. Satish Kumar

“…FastMap is a near-linear-time graph embedding algorithm that has already found many real-world applications. …”
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A Novel Algorithm for the Decomposition of Non-Stationary Multidimensional and Multivariate Signals by Roberto Cavassi, Antonio Cicone, Enza Pellegrino, Haomin Zhou

“…The decomposition of a signal is a fundamental tool in many fields of research, including signal processing, geophysics, astrophysics, engineering, medicine, and many more. …”
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Co-evolutionary algorithm with a region-based diversity enhancement strategy by Kangshun Li, RuoLin Ruan, Shumin Xie, Hui Wang

“…The proposed algorithm consists of two populations: a main population dedicated to exploring the constrained Pareto front and an auxiliary population tasked with exploring the unconstrained Pareto front. …”
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RESEARCH ON DEEP NEURAL NETWORK LEARNING BASED ON IMPROVED BP ALGORITHM by HUANG Pei

“…Deep learning can make the computing model that contains a number of processing layers to learn the data that contains many levels of abstract representation.This kind of learning way in the most advanced speech recognition,visual object recognition,object detection and many other areas,such as biology,genetics and medicine brought significant improvement.Deep learning can find the complex structure of large data,and the convolution neural network as one of the important models of the depth study in the processing of voice,image,video and text,and other aspects of a new breakthrough.It is the use of BP algorithm to guide the machine how to get the error before the layer to adjust the parameters of this layer,so that these parameters are more conducive to the calculation of the model.In view of the shortcomings of traditional BP algorithm,a fast BP algorithm is proposed,which has the disadvantages of slow convergence speed and often falls into local minimum points.The improved convolutional neural network is used to validate the data set MNIST,English character recognition and medical image.The simulation results show the effectiveness of the proposed algorithm.…”
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A Novel Algorithm for Imbalance Data Classification Based on Neighborhood Hypergraph by Feng Hu, Xiao Liu, Jin Dai, Hong Yu

“…The classification problem for imbalance data is paid more attention to. So far, many significant methods are proposed and applied to many fields. …”
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Dynamic Clustering Algorithm for Tracking Targets with High and Variable Celerity (ATHVC) by Mohamed Toumi, Abderrahim Maizate, Mohammed Ouzzif, Med Said Salah

“…This application arouses interest in the world of research for its many fields of use. Wireless sensor networks, thanks to their versatility, can be used in many hostile and inaccessible to humans environments. …”
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The algorithm for applying the process maturity model to improve business processes in organization by S. I. Artemyeva, G. S. Kublashvili, A. G. Zaitsev

“…Improving processes requires accounting for many aspects; therefore, many companies experience difficulties in managing business processes. …”
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