The Problem of Subjectivity in Algorithmic Creativity Organisation by Tetiana Sovhyra

“…The scientific novelty of the article is revealed in the process of highlighting technical assets of modern art, which, although slowly, nevertheless quite demonstratively show the potential of algorithmic computing as a stimulator of creative innovations. …”
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PERFORMANCE PREDICTION OF ROADHEADERS USING SUPPORT VECTOR MACHINE (SVM), FIREFLY ALGORITHM (FA) AND BAT ALGORITHM (BA) by Arash Ebrahimabadi, Alireza Afradi

“…In this research, the Instantaneous Cutting Rate of roadheaders at the Tabas coal mine was analyzed by examining the characteristics of both the rock and the machinery involved. Additionally, this study employed Firefly Algorithm (FA), Bat Algorithm (BA) and Support Vector Machine (SVM), which were assessed using coefficient of determination (R²), root mean square error (RMSE), mean squared error (MSE) and mean absolute error (MAE).The obtained results for Firefly Algorithm (FA) are found to be as R2 = 0.9104, RMSE = 0.0658, MSE= 0.0043 and MAE= 0.0039, for Bat Algorithm (BA) are found to be as R2 = 0.9421, RMSE = 0.0528, MSE= 0.0027 and MAE= 0.0024, and for Support Vector Machine (SVM) are found to be as R2 = 0.8795, RMSE = 0.0762, MSE= 0.0058 and MAE= 0.0052, respectively. …”
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Optimization Study of Centrifugal Fan Volute Parameters based on Non-dominated Sorting Genetic Algorithm III Algorithm by J. L. Li, X. J. Wang, H. Gong, J. J. Wang

“…An efficient and accurate BP neural network was established as a surrogate model for predicting volute performance, and optimal design parameter combinations were obtained using the NSGA-III algorithm. The optimization results were subsequently validated through both experimental and numerical simulations. …”
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GP4ESP: a hybrid genetic algorithm and particle swarm optimization algorithm for edge server placement by Fang Han, Hui Fu, Bo Wang, Yaoli Xu, Bin Lv

“…Then, to search effective or even the best ESP solutions, we propose a hybrid meta-heuristic algorithm (named GP4ESP) by taking advantage of both the powerful global search ability of genetic algorithm (GA) and the fast convergence of particle swarm optimization (PSO). …”
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Research on collaborative filtering algorithm based on improved K-means algorithm for user attribute rating and co-rating by ShengShai Zhang, Shiping Chen, Xiaodong Yu, Shaowei Mei

“…Abstract In response to the challenges of information overload in large datasets, as well as issues related to data sparsity and cold starts in traditional recommendation algorithms, this paper proposes a collaborative filtering algorithm based on an enhanced K-means algorithm for user attribute rating and common rating. …”
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Time Window Characteristics in a Heuristic Algorithm for a Full-Truck Vehicle Routing Heuristic Algorithm in An Intermodal Context by Wisute Ongcunaruk, Pornthipa Ongkunaruk, Gerrit Janssens

“… Intermodal container terminals handle both the pickup and delivery of containers to and from customers, with these transport activities and terminal handling comprising a significant portion of intermodal transport costs. …”
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A Novel Hybrid Method Using Grey Wolf Algorithm and Genetic Algorithm for IoT Botnet DDoS Attacks Detection by Mahdieh Maazalahi, Soodeh Hosseini

“…This IDS is a new three-phase system, the first phase is related to preprocessing on the dataset and the second phase includes a new hybrid method for feature selection using filter and wrapper methods based on the Grey Wolf (GW) algorithm and genetics called GW-GA. In this method, the initial population is randomly selected and then at each stage, feature selection is done by both algorithms simultaneously and the final answer is compared and the best solutions are given as a new population to both algorithms and the third phase includes the use of machine learning and metaheuristic algorithms as classifiers. …”
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Costs of testing sick children in primary care with pulse oximetry: Evidence from four countries, both with and without electronic clinical decision support. by Susan Horton, Ulrich Adombi, Fenella Beynon, Mira Emmanuel-Fabula, Tara Herrick, Sandeep Kumar, Suzan Makawia, Mercy Mugo, Michael Onah, Michael Ruffo, Shally Awasthi, Maymouna Ba, Leah F Bohle, Silvia Cicconi, Hélène Langet, Papa Moctar Faye, Honorati Masanja, Andolo Miheso, Deusdedit Mjungu, James Machoki M'Imunya, Ousmane Ndiaye, Kovid Sharma, Valérie D'Acremont, Kaspar Wyss, TIMCI Collaborator Group

“…Adding clinical decision support algorithms (CDSA) can improve adherence to Integrated Management of Childhood Illness guidelines. …”
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Content-based effective event matching algorithm by CHEN Ji-ming1, JU Shi-guang1, PAN Jin-gui2, ZOU Zhi-wen1, GONG Zhen-yu2

“…Based on the study of characteristics of the distributed virtual environment and current event matching algo-rithms,a content-based effective event matching（CEEM） algorithm was proposed.By considering the efficiency of both subscription processing and event matching,this algorithm can solve the symmetric event matching efficiently,so as to make the content-based publish/subscribe model fit the virtual environment better.Finally,experiments and performance analysis show that CEEM is both practical and effective.…”
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Discorpy: algorithms and software for camera calibration and correction by Nghia T. Vo

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Fuzzy Guiding of Roulette Selection in Evolutionary Algorithms by Krzysztof Pytel

“…This paper presents, discusses, and tests a novel method for guiding roulette selection in evolutionary algorithms. The new method uses fuzzy logic and incorporates information from both current and historical generations to predict the best scheme for the selection process. …”
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KPLS Optimization With Nature-Inspired Metaheuristic Algorithms by Jorge Daniel Mello-Roman, Adolfo Hernandez

“…The metaheuristic algorithms estimated optimal values of both of the kernel function parameters and the number of components in the KPLS regression.…”
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Convergence Analysis of the Relaxed Proximal Point Algorithm by Min Li, Yanfei You

“…The relaxed proximal point algorithm (PPA) is a generalization of the original PPA which includes the Douglas-Rachford ADMM as a special case. …”
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Research of the Algorithm for Robot Workspace Boundary Extraction by Cui Zhihong, Diao Yan, Han Lei, Luo Jingping, Wang Qiang

“…By using an improved algorithm to extract the workspace boundary of a robot with 7 degrees of freedom,the extraction efficiency and the result both meet the requirement of the following work. …”
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Greedy algorithms: a review and open problems by Andrea García

“…Abstract Greedy algorithms are a fundamental class of mathematics and computer science algorithms, defined by their iterative approach of making locally optimal decisions to approximate global optima. …”
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Enhance Fingerprint Image by Using Genetic Algorithms by Ban Mitras, Daliya Abdullah

“…In this paper, an algorithm is proposed to enhance fingerprint image which includes in one of its steps a smoothing process in which the suggested genetic algorithms by Mitras and Anwar in 2007 which used  image smooth filters in both spatial and frequency domain will be employed to know their efficiency in enhancing and regaining the damaged sides of the fingerprint image to remove two types of noise, first one deals with noise added to the image, and the second one the noise already found in the image. …”
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A New Family of Spectral CG-Algorithm by Abbas Al-Bayati, Runak Abdullah

“…Two modifications of the method are presented, one using Barzilai line search, and the others  take  at each iteration (where  is step- size). In both cases tested for the  Wolfe conditions, eleven test problems with different dimensions are used to compare these algorithms against the  well-known Fletcher –Revees CG-method, with obtaining a robust numerical results.…”
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Parallel circuit implementation of variational quantum algorithms by Michele Cattelan, Sheir Yarkoni, Wolfgang Lechner

“…We provide results obtained both from simulation and experiments on real hardware. …”
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Deep Learning-Based Object Detection Algorithms by Yao Linxi

“…With the development of deep learning, Object detection algorithms have seen significant enhancements in both speed and accuracy, leading to extensive adoption across various domains, including autonomous driving, drone surveillance, and security monitoring. …”
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Algorithmic bias and the Value Sensitive Design approach by Judith Simon, Pak-Hang Wong, Gernot Rieder

“…Recently, amid growing awareness that computer algorithms are not neutral tools but can cause harm by reproducing and amplifying bias, attempts to detect and prevent such biases have intensified. …”
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