Collaborative Task Offloading Strategy of UAV Cluster Using Improved Genetic Algorithm in Mobile Edge Computing by Hong Wang

“…Then, the improved genetic algorithm is introduced to solve the optimization problem, obtaining the optimal collaborative task offloading strategy. …”
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Phaseless Spherical Near-Field to Far-Field Transformation Algorithm via Sparsity of Spherical Mode Coefficients by Jiaqi Wang, Yinghong Wen, Dan Zhang, Jinbao Zhang

“…To improve the recovery performance of the algorithm, a spherical sampling strategy matching with the algorithm is also presented. …”
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Optimization Calculation Method and Mathematical Modeling of Big Data Chaotic Model Based on Improved Genetic Algorithm by Zhicheng Zhang, Yan Zhang

“…In order to find a chaotic trajectory sequence with strong global optimization ability to help the genetic selection of direction after the reversal of chemotaxis, an improved genetic algorithm based on chaos optimization is proposed by combining the characteristics of chaotic motion with the improved genetic algorithm. …”
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A novel artificial intelligence search algorithm and mathematical model for the hybrid flow shop scheduling problem by Filip Vidojević, Andrijana Džamić, Dušan Džamić, Miroslav Marić

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Harmonic Detection Method Based on Particle Swarm Optimization and Simulated Annealing Algorithm of Electrohydraulic Servo System by Tao Wang, Jinchun Song

“…Using a super accurate and fast global convergence brought by the combination of hybrid particle swarm optimization algorithm and simulated annealing algorithm, it can quickly jump out of the trap of traditional local optimization algorithms and a more stable, high-precision, as well as fast global convergence optimal solution can be obtained. …”
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Advanced Path Planning for UAV Swarms in Smart City Disaster Scenarios Using Hybrid Metaheuristic Algorithms by Mohammed Sani Adam, Nor Fadzilah Abdullah, Asma Abu-Samah, Oluwatosin Ahmed Amodu, Rosdiadee Nordin

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Nonlinear time series prediction algorithm based on AD-SSNET for artificial intelligence–powered Internet of Things by Banteng Liu, Wei Chen, Meng Han, Zhangquan Wang, Ping Sun, Xiaowen Lv, Jiaming Xu, Zegao Yin

“…This article proposes a nonlinear time series prediction algorithm based on the Small-World Scale-Free Network after the AIC-Optimized Subtractive Clustering Algorithm (AIC-DSCA-SSNET, AD-SSNET) to predict the nonlinear and unstable time series, which improves the prediction accuracy. …”
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Diagnosis Osteoporosis Risk: Using Machine Learning Algorithms Among Fasa Adults Cohort Study (FACS) by Saghar Tabib, Seyed Danial Alizadeh, Aref Andishgar, Babak Pezeshki, Omid Keshavarzian, Reza Tabrizi

“…Given the disadvantages and challenges associated with traditional osteoporosis diagnostic tools, the implementation of ML algorithms for the early identification of individuals with osteoporosis can lead to a significant reduction in morbidity and mortality related to this condition. …”
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Evidence-based Algorithms for Free Deep Inferior Epigastric Perforator Flap Salvage in Autologous Breast Reconstruction by Anna R. Todd, MD, PhD, FRCSC, Mawaddah Alrajraji, MD, Kathryn Sawa, MD, Joan E. Lipa, MD, MSc, Laura Snell, MD, MSc

“…Three evidence-based management algorithms were created. The first algorithm outlines perioperative management strategies to optimize patient care and prompt return to the OR. …”
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A Clustering of Investors' Behavior according to Their Financial, Behavioral, and Demographic Characteristics (An Application of K-means Algorithm) by Marziyeh Nourahmadi, Hojjatollah Sadeqi

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Higher-Order Iterative Learning Control with Optimal Control Gains Based on Evolutionary Algorithm for Nonlinear System by Yun-Shan Wei, Xiaofen Yang, Wenli Shang, Ying-Yu Chen

“…For the nonlinear discrete-time system, higher-order iterative learning control (HOILC) with optimal control gains based on evolutionary algorithm (EA) is developed in this paper. Since the updating actions are constituted by the tracking information from several previous iterations, the suitably designed HOILC schemes with appropriate control gains usually achieve fast convergence speed. …”
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Neutron Flux Monitoring Based on Blind Source Separation Algorithms in Moroccan TRIGA MARK II Reactor by Hanane Arahmane, El-Mehdi Hamzaoui, Rajaa Cherkaoui El Moursli

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Decentralized State Estimation Algorithm of Centralized Equivalent Precision for Formation Flying Spacecrafts Based on Junction Tree by Mengyuan Dai, Hua Mu, Meiping Wu, Zhiwen Xian

“…As centralized state estimation algorithms for formation flying spacecraft would suffer from high computational burdens when the scale of the formation increases, it is necessary to develop decentralized algorithms. …”
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Mobile Industrial Robots Localization Algorithm Based on Improved Multidimensional Scale and Received Signal Strength Indication by Jian Jiao

“…Aiming at the problem of large error in the location algorithm based on MDS-MAP when the distance between mobile industrial robots is not measurable, a mobile industrial robot location algorithm based on improved MDS-MAP is proposed. …”
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Retracted: The New Approach Research on Singing Voice Detection Algorithm Based on Enhanced Reconstruction Residual Network by Journal of Mathematics

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Optimal Pattern Synthesis of Linear Array and Broadband Design of Whip Antenna Using Grasshopper Optimization Algorithm by Hengfeng Wang, Chao Liu, Huaning Wu, Bin Li, Xu Xie

“…A new natural heuristic algorithm simulating social behavior of grasshoppers, grasshopper optimization algorithm (GOA), is applied to electromagnetic field as a new effective technology to solve the antenna optimization problem for the first time. …”
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Optimal Matching Metaheuristic Algorithm for Potential Areas of Agricultural Economic Resources Development Based on Spatial Relationship by Jianying Zhang, Xuebin Feng

“…Based on this multiobjective model, the optimal matching model for potential areas of agricultural economic resource development is constructed, and the improved genetic algorithm is used to solve the model to realize the optimal matching of potential areas of agricultural productivity and economic resource development. …”
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SMOTE vs. SMOTEENN: A Study on the Performance of Resampling Algorithms for Addressing Class Imbalance in Regression Models by Gazi Husain, Daniel Nasef, Rejath Jose, Jonathan Mayer, Molly Bekbolatova, Timothy Devine, Milan Toma

“…Algorithms…”
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A Computation Complexity Reduction of the Size Decision Algorithm in 3D-HEVC Depth Map Intracoding by Hamza Hamout, Abderrahmane Elyousfi

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Cognitive Method for Synthesising a Fuzzy Controller Mathematical Model Using a Genetic Algorithm for Tuning by Serhii Vladov

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