An Effective Variable Transformation Strategy in Multitasking Evolutionary Algorithms by Qingzheng Xu, Lei Wang, Jungang Yang, Na Wang, Rong Fei, Qian Sun

“…Multitasking evolutionary algorithm (MTEA), which solves multiple optimization tasks simultaneously in a single run, has received considerable attention in the community of evolutionary computation, and several algorithms have been proposed in the literature. …”
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Research on the Algorithms for Registration in Sensor Network for Target Tracking by Ling Wu, Fa-Xing Lu

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Intuitionistic Fuzzy Possibilistic C Means Clustering Algorithms by Arindam Chaudhuri

“…The algorithm is evaluated through cluster validity measures. …”
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Algorithms for Computing Wiener Indices of Acyclic and Unicyclic Graphs by Bo Bi, Muhammad Kamran Jamil, Khawaja Muhammad Fahd, Tian-Le Sun, Imran Ahmad, Lei Ding

“…In this paper, we described a linear time algorithm (LTA) that computes the Wiener index for acyclic graphs and extended this algorithm for unicyclic graphs. …”
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Application and Development of Enhanced Chaotic Grasshopper Optimization Algorithms by Akash Saxena, Shalini Shekhawat, Rajesh Kumar

“…In recent years, metaheuristic algorithms have revolutionized the world with their better problem solving capacity. …”
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Special Issue on Scheduling Theory and Algorithms for Sustainable Manufacturing by Alexandre Dolgui, David Lemoine, María I. Restrepo, Frank Werner

“…Algorithms…”
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Deep Learning Algorithms for Detection and Classification of Gastrointestinal Diseases by Mosleh Hmoud Al-Adhaileh, Ebrahim Mohammed Senan, Waselallah Alsaade, Theyazn H. H Aldhyani, Nizar Alsharif, Ahmed Abdullah Alqarni, M. Irfan Uddin, Mohammed Y. Alzahrani, Elham D. Alzain, Mukti E. Jadhav

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Faster backtracking algorithms for the generation of symmetry-invariant permutations by Oscar Moreno, John Ramírez, Dorothy Bollman, Edusmildo Orozco

“…Special cases give a new algorithm for generating solutions of the classical n-queens problem, as well as a new algorithm for generating Costas sequences, which are used in encoding radar and sonar signals. …”
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Efficient Model Predictive Algorithms for Tracking of Periodic Signals by Yun-Chung Chu, Michael Z. Q. Chen

“…Besides the conventional formulation based on the control inputs as variables, a parameterization using a dynamic policy on the inputs is introduced, which further reduces the online computational requirements. Both proposed algorithms possess nice convergence properties, which are also verified with computer simulations.…”
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Utilizing Statistical Tests for Comparing Machine Learning Algorithms by Hozan Khalid Hamarashid

Subjects: “…machine learning, machine learning assessment, statistical tests, machine learning algorithm, machine learning comparison.…”
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Damped Algorithms for the Split Fixed Point and Equilibrium Problems by Li-Jun Zhu, Minglun Ren

“…The main purpose of this paper is to study the split fixed point and equilibrium problems which includes fixed point problems, equilibrium problems, and variational inequality problems as special cases. A damped algorithm is presented for solving this split common problem. …”
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Theory and Algorithms of Variational Inequality and Equilibrium Problems, and Their Applications by Xie-ping Ding, Nan-jing Huang, Fu-quan Xia, Qing-bang Zhang, Qamrul Hasan Ansari

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A Critical Review of Structural Topology Optimization Algorithms by Jiao Yuhang

“…In the past 30 years , the field of structural topology optimization has developed rapidly, and many representative algorithms such as homogenization algorithm, solid isotropic material with penalization algorithms and evolutionary structural optimization algorithms have emerged. …”
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Assessing Institutional Performance Using Machine Learning Algorithms by zainabalwan anwer, Ahmad Abdalrada, Ihtiram Raza Khan

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Iterative Algorithms for the Split Problem and Its Convergence Analysis by Zhangsong Yao, Arif Rafiq, Shin Min Kang, Li-Jun Zhu

“…In this paper, the split common fixed point problem associated with the pseudocontractions is studied. An iterative algorithm has been presented for solving the split common fixed point problem. …”
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Hierarchical Quantum Architecture Search for Variational Quantum Algorithms by Tong Zhao, Bo Chen, Guanting Wu, Liang Zeng

“…Designing efficient variational quantum algorithms (VQAs) is crucial for transforming the theoretical advantages of quantum algorithms into practical applications. …”
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Comparison of algorithms for the recognition of ChatGPT paraphrased texts by Aleksandar Kartelj, Miljana Mladenović, Staša Vujičić Stanković

“…We then comprehensively compare 19 widely used classification algorithms based on two feature sets: word unigrams and character multigrams. …”
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Algorithms for Solving the Equilibrium Composition Model of Arc Plasma by Zhongyuan Chi, Yuzhang Ji, Ningning Liu, Tianchi Jiang, Xin Liu, Weijun Zhang

“…In the present study, the Homotopy Levenberg−Marquardt Algorithm (HLMA) and the Parameter Variation Levenberg–Marquardt Algorithm (PV–LMA), both developed in the context of high-temperature composition, are proposed to address the equilibrium composition model of plasma under the condition of local thermodynamic and chemical equilibrium. …”
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Nature-Inspired Algorithms for Real-World Optimization Problems by Wei Fang, Xiaodong Li, Mengjie Zhang, Mengqi Hu

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Diagnosis of oral cancer using deep learning algorithms by Mayra Alejandra Dávila Olivos, Henry Miguel Herrera Del Águila, Félix Melchor Santos López

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