On Decision-Making Algorithms in Discrete Optimization Problems by Yulia Terentyeva

“…The article provides a comparative analysis of the efficiency of using several predictor functions, i.e. special auxiliary functions a priori evaluating the feasibility of choosing a separating element for a certain iterative algorithm. …”
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Review of Multivariate Time Series Clustering Algorithms by ZHENG Desheng, SUN Hanming, WANG Liyuan, DUAN Yaoxin, LI Xiaoyu

“…Initially, based on classification standards such as feature extraction methods, similarity measurement algorithms, and clustering partition frameworks, this paper conducts a comparative analysis of existing multivariate time series clustering algorithms. …”
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Negative Selection Algorithm for Unsupervised Anomaly Detection by Michał Bereta

“…We conducted comparative tests with 11 other algorithms across 17 datasets with varying characteristics. …”
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Application of an Improved CHI Feature Selection Algorithm by Liang-jing Cai, Shu Lv, Kai-bo Shi

“…It is very important to improve the accuracy of classification results, and this is also the main research purpose of researchers in this field in recent years. …”
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Enhanced Gaining-Sharing Knowledge-based algorithm by Mohammed Adnan Jawad, Heba Sayed Mohamed Roshdy, Ali Wagdy Mohamed

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An Algorithm for the Multimodality Treatment of Cerebral Arteriovenous Malformations by Kirill Orlov, Vadim Berestov, Nikolay Strelnikov, Andrey Moskalev, Alina Alshevskaya, Alexander Krivoshapkin

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Algorithmic Literacy and the Role of Librarians in Its Education by Shahnaz Khademizadeh, Mohammad Amin Sekhavatmanesh

“…This research aims to study the concept and necessity of algorithmic literacy and the role of librarians in teaching this literacy. …”
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Improving Quantum Optimization Algorithms by Constraint Relaxation by Tomasz Pecyna, Rafał Różycki

“…We demonstrate how to formulate the problem Hamiltonian for a quantum approximate optimization algorithm that satisfies all the requirements to correctly describe the considered tactical aircraft deconfliction problem, achieving higher probabilities for finding solutions compared to previous works. …”
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The Application of Artificial Intelligent Algorithms in Electric Propulsion by Tian Bin, An Bingchen, Xie Kan, Yang Sulan

“…However, with the increasing demands of space missions, research in this field continues to advance. In recent years, the rapid development of artificial intelligence algorithms, such as machine learning and deep learning, has provided new approaches for the study of electric propulsion. …”
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Decision support algorithm to prevent hardware failures by E. A. Abidova

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Inverse scattering transform algorithm for the Manakov system by A.E. Chernyavsky, L.L. Frumin

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Scaling of hardware-compatible perturbative training algorithms by B. G. Oripov, A. Dienstfrey, A. N. McCaughan, S. M. Buckley

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Improved Firefly Algorithm Based on Heuristic Information by CUI Jia-rui, LI Qing, YANG Liu-yi, WANG Heng, ZHANG Bo-yu

“…Firefly Algorithm (FA) is an optimization algorithm based on swarm intelligence which mimics the social behavior of fireflies based on the flashing and attraction characteristics of fireflies With the aim to address the disadvantages of the firefly algorithm of slow convergence speed and ease of falling into the local optimum in the later period of the evolution process, the firefly algorithm is improved herein Two kinds of heuristic information are proposed into the algorithm to guide the convergence of the algorithm The first one takes the current global best as the heuristic information referencing the “global optimal” idea in particle swarm optimization, therefore, an algorithm called FAGO (Firefly Algorithm based on Global Optimization) is formed The second one is called FABE (Firefly Algorithm based on Bayesian Estimation) using the optimal moving direction calculated by Bayesian estimation as heuristic information The improved algorithms in this study are applied to numerical simulations of several classical test functions and compared with traditional FA and some other′s research are carried out The simulation results show that the proposed algorithms can well accelerate the convergence speed and improve the convergence accuracy…”
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Metaheuristic Algorithms for Optimization: A Brief Review by Vinita Tomar, Mamta Bansal, Pooja Singh

“…As a result, metaheuristics have become an increasingly important part of modern optimization, with a large number of algorithms emerging over the last two decades. The purpose of this study is to present a quick overview of these algorithms so that researchers may choose and use the best metaheuristic method for their optimization issues. …”
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Design of Laboratory Algorithm Model for Grid Backbone by HUANG Xiao-ming, CHE Jian-tao, FAN Bing, LI Xin-qi

“…According to different node weights and elements of the transmission network, different algorithm models can be used to conduct in-depth research on specific problems. …”
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Multifactor Algorithm for Test Case Selection and Ordering by Atulya Gupta, Rajendra Prasad Mahapatra

“…However, when examining the fault detection capacity along with other parameters, is required, the method falls short. The current research is motivated by this concept and proposes a multifactor algorithm incorporated with genetic operators and powerful features. …”
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ALGORITHM FOR POST-BURN BACTERIAL SEPSIS DIAGNOSIS by B. V. Guzenko

“…In 78 patients of the main group the average meaning of the total area of the burn was 45.47 ± 1.91% of the body surface (bs); of the deep burn area - 21.76 ± 1.85% bs, while in 62 patients of the control group it was respectively 40.03 ± 2.29% and 23.74 ± 1.81%. Results of the research. In the main group, after early necrectomy, the number of symptoms of the systemic inflammatory response syndrome (SIRS) measured at an average from 1.79 to 2.03 of the 4 possible symptoms, which is 20-22% less compared to the control group of patients in whom surgical treatment was carried out at later terms. …”
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Big data technology for teaching quality monitoring and improvement in higher education - joint K-means clustering algorithm and Apriori algorithm by Yang Li, Haiyu Zhang

“…In order to cope with these challenges, the study proposes a research method of big data technology based on joint K-mean clustering algorithm and association rule mining algorithm. …”
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Multinomial logistic regression algorithm for the classification of patients with parkinsonisms by Eva Štokelj, Tomaž Rus, Jan Jamšek, Maja Trošt, Urban Simončič

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Research on fusion prediction model of wind speed, gas and dust concentration under wind flow control in fully-mechanized heading face by Xiaoyan GONG, Hao ZOU, Zhuangzhuang LIU, Long CHEN, Haoran FU, Yuheng SUN, Hao LI, Xinyu WANG, Huming NIU

“…The sample data is preprocessed, and the differential evolution algorithm is introduced to search the node number and learning rate of the best hidden layer. …”
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