Enhanced hunger games search algorithm that incorporates the marine predator optimization algorithm for optimal extraction of parameters in PEM fuel cells by Mohamed Issa, Mohamed Abd Elaziz, Sameh I. Selem

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Comparative Analysis of Nature-Inspired Algorithms for Optimal Power Flow Problem: A Focus on Penalty-Vanishing Terms and Algorithm Performance by Gerardo Castanon, Alberto F. Martinez-Herrera, Ana Maria Sarmiento, Alejandro Aragon-Zavala, Fernando Lezama

Subjects: “…Nature-inspired algorithms…”
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A New Genetic Algorithm Methodology for Design Optimization of Truss Structures: Bipopulation-Based Genetic Algorithm with Enhanced Interval Search by Tugrul Talaslioglu

“…A new genetic algorithm (GA) methodology, Bipopulation-Based Genetic Algorithm with Enhanced Interval Search (BGAwEIS), is introduced and used to optimize the design of truss structures with various complexities. …”
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The Diagnosis of Diabetes Using a Hybrid Algorithm Consisting of the Flower Pollination Algorithm and an Ensemble of a Subset of K-NN Classifiers by Zeinab Hassani, Najmeh Samadiani

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Generating the Flood Susceptibility Map for Istanbul with GIS-Based Machine Learning Algorithms by Zehra Koyuncu, Ömer Ekmekcioğlu

“…The main objective of the current study is to generate a flood hazard map by using the machine learning algorithms hybridized with the geographic information systems (GIS). …”
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Algorithms for Processing Coronavirus Genomes for the Goals and Objectives of Modern Immunoinformatics, Vaccinomics, and Virology by M. V. Sprindzuk, A. S. Vladyko, L. P. Titov, Lu Zhuozhuang, V. I. Bernik

“…The schemes of algorithms developed by the authors for the analysis of bioinformatic data are presented. …”
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ALGORITHMS TO IDENTIFY TRUST AMONG FRIENDS ON SOCIAL NETWORKING SITES BASED ON ONTOLOGY by Phạm Thị Thu Thúy

“…This paper synthesizes and analyzes common reliability formulas and presents a reliability algorithm.…”
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Performance evaluation of TCP congestion control algorithms in fast long distance network by Guo-dong WANG, Yong-mao REN, Jun LI

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GAN-based pseudo random number generation optimized through genetic algorithms by Xuguang Wu, Yiliang Han, Minqing Zhang, Yu Li, Su Cui

“…Abstract Pseudo-random number generators (PRNGs) are deterministic algorithms that generate sequences of numbers approximating the properties of random numbers, which are widely utilized in various fields. …”
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Two Efficient Generalized Laguerre Spectral Algorithms for Fractional Initial Value Problems by D. Baleanu, A. H. Bhrawy, T. M. Taha

“…Through several numerical examples, we confirm the accuracy and performance of the proposed spectral algorithms. Indeed, the methods yield accurate results, and the exact solutions are achieved for some tested problems.…”
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C3-VQA: Cryogenic Counter-Based Coprocessor for Variational Quantum Algorithms by Yosuke Ueno, Satoshi Imamura, Yuna Tomida, Teruo Tanimoto, Masamitsu Tanaka, Yutaka Tabuchi, Koji Inoue, Hiroshi Nakamura

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Characterization of microbiota signatures in Iberian pig strains using machine learning algorithms by Lamiae Azouggagh, Noelia Ibáñez-Escriche, Marina Martínez-Álvaro, Luis Varona, Joaquim Casellas, Sara Negro, Cristina Casto-Rebollo

“…This study aims to explore the gut microbiota of two Iberian pig strains, Entrepelado (n = 74) and Retinto (n = 63), and their reciprocal crosses (n = 100), using machine learning (ML) models to identify key microbial taxa relevant for distinguishing their genetic backgrounds, which holds potential application in the pig industry. Nine ML algorithms, including tree-based, kernel-based, probabilistic, and linear algorithms, were used. …”
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Research on multi-objective grid task scheduling algorithms based on survivability and Makespan by WANG Shu-peng, YUN Xiao-chun, YU Xiang-zhan

“…In the complex and dynamic Grid system,failure of resources was very common.And the failure of Grid re-sources can halt the execution of tasks on them.To mitigate this problem,the concept of tasks survivability was pro-posed,a local objective function which can be adjusted was proposed by incorporating the makespan and survivability of tasks and maximizing the survivability of tasks was devised.The simulation results confirm that the scheduling algorithm can trade off these two objectives,and can satisfy different demand by adjusting the weight parameter in the objective function.So it can be applied in the complex Grid computing environment well.…”
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Optimizing Photovoltaic Panel Performance: A Comparative Study of Meta-Heuristic Algorithms by M. Sundar Rajan

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Comparison of Multiobjective Evolutionary Algorithms for Operations Scheduling under Machine Availability Constraints by M. Frutos, M. Méndez, F. Tohmé, D. Broz

“…In this paper we analyze different Evolutionary multiobjective Algorithms (MOEAs) for this kind of problems. We consider an experimental framework in which we schedule production operations for four real world Job-Shop contexts using three algorithms, NSGAII, SPEA2, and IBEA. …”
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A Review of Foreign Object Debris Detection on Airport Runways: Sensors and Algorithms by Jingfeng Shan, Lapo Miccinesi, Alessandra Beni, Lorenzo Pagnini, Andrea Cioncolini, Massimiliano Pieraccini

“…Radar technologies, such as millimeter-wave radar and synthetic aperture radar, offer robust performance, with advancements in algorithms and sensor fusion significantly enhancing their effectiveness. …”
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Lightweight Cryptographic Algorithms for Guessing Attack Protection in Complex Internet of Things Applications by Mohammad Kamrul Hasan, Muhammad Shafiq, Shayla Islam, Bishwajeet Pandey, Yousef A. Baker El-Ebiary, Nazmus Shaker Nafi, R. Ciro Rodriguez, Doris Esenarro Vargas

“…This paper presents the experimental study of cryptographic algorithms to classify the types of encryption algorithms into the asymmetric and asymmetric encryption algorithm. …”
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Algorithms for Solving System of Extended General Variational Inclusions and Fixed Points Problems by Narin Petrot, Javad Balooee

“…Subsequently, the convergence analysis of the proposed iterative algorithm under some suitable conditions is considered. …”
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Optimal Algorithms and the BFGS Updating Techniques for Solving Unconstrained Nonlinear Minimization Problems by Chein-Shan Liu

“…To solve an unconstrained nonlinear minimization problem, we propose an optimal algorithm (OA) as well as a globally optimal algorithm (GOA), by deflecting the gradient direction to the best descent direction at each iteration step, and with an optimal parameter being derived explicitly. …”
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A Comprehensive Analysis of Cryptographic Algorithms: Evaluating Security, Efficiency, and Future Challenges by Donagani Ramakrishna, Mohammed Ali Shaik

“…To analyze the efficiency of these algorithms, a comparative study was conducted using crucial factors, including security, secrecy, and integrity. …”
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