Quark masses and mixing in string-inspired models by Andrei Constantin, Cristofero S. Fraser-Taliente, Thomas R. Harvey, Lucas T. Y. Leung, Andre Lukas

“…Employing systematic and heuristic search strategies, such as genetic algorithms, we identify charge assignments and singlet VEVs that replicate the observed mass and mixing hierarchies in the quark sector, and subsequently refine the Yukawa matrix coefficients to accurately match the observed values for the Higgs VEV, the quark and charged lepton masses and the CKM matrix. …”
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Multi-Objective Optimization of Three-Stage Turbomachine Rotor Based on Complex Transfer Matrix Method by Hüseyin Tarık Niş, Ahmet Yıldız

“…In order to design a more efficient structure of a three-stage turbomachine rotor, we integrated this method with various optimization algorithms, including genetic algorithm (GA), differential evolution (DE), simulated annealing (SA), gravitational search algorithm (GSA), black hole (BH), particle swarm optimization (PSO), Harris hawk optimization (HHO), artificial bee colony (ABC), and non-metaheuristic pattern search (PS). …”
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Development of an artificial intelligence system for the forecasting of infectious diseases by A. A. Kuzin, R. I. Glushakov, S. A. Parfenov, K. V. Sapozhnikov, A. A. Lazarev

“…Employing machine learning algorithms, AI systems can rapidly analyze a large amount of data, extract specific disease patterns, and screen for the most efficient AI instruments in relation to specific tasks, thus contributing to prevention, diagnostics, and treatment of infectious diseases in the context of personalized medicine. …”
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Instance Assignment Coverage Feature for Operation Control of SAT Solver by Zhihui Li, Shuwei Chen, Guanfeng Wu, Yang Xu

“…This work advances solver architecture design by establishing formal connections between exploratory search patterns and instance structural complexity. …”
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Quantum inspired elephant swarm intelligence for frequent item-sets mining by Hadjer Moulai

“…This paper introduces two novel quantum-inspired swarm intelligence approaches, namely Quantum-inspired Discrete Elephant Herding Optimization (QDEHO) and Quantum-inspired Discrete Elephant Water Search Algorithm (QDESWSA), for solving discrete optimization problems. …”
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Analysis and Design of a Context Adaptable SAD/MSE Architecture by Arvind Sudarsanam, Aravind Dasu, Karthik Vaithianathan

“…CRA can cater to variable pixel access patterns while reusing fetched pixels across search windows. …”
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Seeking Mechanism Improvement of Optimum Prices for New Services in Long-Distance Trains through Use of Nonlinear-in-the-Parameter Analysis Models of Price Elasticity of Demand by S. S. Pastukhov

“…On the basis of the obtained results of the economic and mathematical models operation with the marketing information array there were investigated usage pattern and comparative performance of various type application-specific search algorithms of optimum parameters for the selected in the course of the investigation nonlinear model types while engaged in analyzing price elasticity of demand in the light of its specific character in the passenger railway transport environment.…”
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Effect of Hyperparameter Tuning on Performance on Classification model by Muhammad Sholeh, Uning Lestari, Dina Andayati

“…This research aims to analyze the effect of hyperparameter tuning on the performance of Logistic Regression, K-Nearest Neighbours, Support Vector Machine, Decision Tree, Random Forest, Random Forest Classifier, Naive Bayes algorithms.  These six algorithms were tested both using hyperparameter tuning and not using hyperparameter tuning. …”
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Assessment of Cardiovascular Disease Risk in South Asian Populations by S. Monira Hussain, Brian Oldenburg, Yuanyuan Wang, Sophia Zoungas, Andrew M. Tonkin

“…Although South Asian populations have high cardiovascular disease (CVD) burden in the world, their patterns of individual CVD risk factors have not been fully studied. …”
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Dung beetle optimizer based on mean fitness distance balance and multi-strategy fusion for solving practical engineering problems by Wanru Tang, Haoze Qin, Shuang Kang

“…Abstract As a swarm intelligence algorithm, Dung beetle optimizer (DBO) was inspired by the behavior pattern of dung beetles for survival. …”
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Out of randomness: How evolution benefits from modularity by Chunxiuzi Liu, Shaohua Tang, Jingxi Liu, Jiashuo Ye, Lanxin Ma, Bingning Liu, Lu Peng, Jiaxin Dong, Linjie Que, Binbin Hong, Yu Liu

“…Understanding these mechanisms is crucial for comprehending evolution and designing evolution-inspired algorithms. This study employs genetic algorithms (GAs) to quantitatively explore how evolution-like processes, marked by mutation and crossover, search for complex solutions. …”
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An Evaluation of the Use of Simulated Annealing to Optimize Thinning Rates for Single Even-Aged Stands by Kai Moriguchi, Tatsuhito Ueki, Masashi Saito

“…The best parameters for the simulated annealing were chosen from 113 patterns, using the mean of the net present value from 39 runs to ensure the best performance. …”
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An optimized ensemble model with advanced feature selection for network intrusion detection by Afaq Ahmed, Muhammad Asim, Irshad Ullah, Zainulabidin, Abdelhamied A. Ateya

“…However, these methods often fall short in detecting sophisticated and evolving threats, particularly those involving subtle variations or mutations of known attack patterns. To address this challenge, our study presents the “Optimized Random Forest (Opt-Forest),” an innovative ensemble model that combines decision forest approaches with genetic algorithms (GAs) for enhanced intrusion detection. …”
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Discovery of Meaningful Rules by using DTW based on Cubic Spline Interpolation by Luis Alexander Calvo-Valverde, David Elías Alfaro-Barboza

“…In the last decade, the data science community have been highly interested in foretelling real life events, using data mining techniques to discover meaningful rules or patterns, from different data types, including Time Series. …”
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Forecasting Insurance Company Commitments with Long Short-Term Memory Models by Negar Tehraniyazdi, Reza Vaezi, Saeed Setayeshi, Iman Raeesi Vanani

“…It can identify hidden patterns and non-linear, complex relationships within claims data. …”
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PROJECTING OF THE INDIVIDUAL WORK OF STUDENTS STUDYING INFORMATICS by Mikhail I. Umansky

“…Efficient combination of the usage of patterns as the results of practical work and creative search for the best algorithms and procedures allows to move to the formation of cultural and professional competences in the course of informatics step by step.…”
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Machine learning applications in the analysis of sedentary behavior and associated health risks by Ayat S Hammad, Ayat S Hammad, Ali Tajammul, Ismail Dergaa, Ismail Dergaa, Ismail Dergaa, Maha Al-Asmakh, Maha Al-Asmakh

“…As prolonged inactivity becomes a growing public health concern, researchers are increasingly utilizing machine learning (ML) techniques to examine and understand these patterns. ML offers powerful tools for analyzing large datasets and identifying trends in physical activity and inactivity, generating insights that can support effective interventions.ObjectivesThis review aims to: (i) examine the role of ML in analyzing sedentary patterns, (ii) explore how different ML techniques can be optimized to improve the accuracy of predicting sedentary behavior, and (iii) assess strategies to enhance the effectiveness of ML algorithms.MethodsA comprehensive search was conducted in PubMed and Scopus, targeting peer-reviewed articles published between 2004 and 2024. …”
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Optimizing Artificial Neural Networks Using Mountain Gazelle Optimizer by Muhammed Abdulhamid Karabiyik, Bahaeddin Turkoglu, Tunc Asuroglu

“…In this study, we introduce a novel approach to optimizing neural network parameters using the Mountain Gazelle Optimizer (MGO), a nature-inspired metaheuristic algorithm that mimics the social hierarchy and behavioral patterns of wild mountain gazelles. …”
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Optimal Charging Current Protocol with Multi-Stage Constant Current Using Dandelion Optimizer for Time-Domain Modeled Lithium-Ion Batteries by Seongik Han

“…To verify the performance of the proposed method, various algorithms, including the constant current-constant voltage (CC-CV) technique, formula method (FM), particle swarm optimization (PSO), war strategy optimization (WSO), jellyfish search algorithm (JSA), grey wolf optimization (GWO), beluga whale optimization (BWO), levy flight distribution algorithm (LFDA), and African gorilla troops optimizer (AGTO), were introduced. …”
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Decomposition-Based Multiobjective Evolutionary Optimization with Adaptive Multiple Gaussian Process Models by Xunfeng Wu, Shiwen Zhang, Zhe Gong, Junkai Ji, Qiuzhen Lin, Jianyong Chen

“…In this way, our proposed algorithm owns more search patterns and is able to produce more diversified solutions. …”
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