Multi-Objective Optimal Trajectory Planning for Woodworking Manipulator and Worktable Based on the INSGA-II Algorithm by Jiaping Yi, Changqing Zhang, Sihan Chen, Qinglong Dai, Hang Yu, Guang Yang, Leyuan Yu

“…The manipulator has been widely used in the wood processing industry; the main problem currently faced is optimizing the motion trajectory to enhance the processing efficiency and operational stability of the woodworking manipulator and worktable. …”
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Evolution of Algorithms and Applications for Unmanned Surface Vehicles in the Context of Small Craft: A Systematic Review by Luis Castano-Londono, Stefany del Pilar Marrugo Llorente, Edwin Paipa-Sanabria, María Belén Orozco-Lopez, David Ignacio Fuentes Montaña, Daniel Gonzalez Montoya

“…In the categories application sector, autonomy level, application area and algorithm type/task, it was identified that most studies are oriented toward the maritime sector, the developments to achieve full autonomy for USVs, the development of designs or algorithms at the modeling and simulation level, and the development and implementation of algorithms for the GNC subsystems. …”
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Machine learning algorithms to predict stroke in China based on causal inference of time series analysis by Qizhi Zheng, Ayang Zhao, Xinzhu Wang, Yanhong Bai, Zikun Wang, Xiuying Wang, Xianzhang Zeng, Guanghui Dong

“…Main Outcome(s) and Measure(s) AUC (Area Under the Curve), Accuracy, Precision, Recall, F1 Score, and Matthews Correlation Coefficient (MCC). …”
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A Multihead Attention Deep Learning Algorithm to Detect Amblyopia Using Fixation Eye Movements by Dipak P. Upadhyaya, MS, Gokce Cakir, MD, Stefano Ramat, PhD, Jeffrey Albert, PhD, Aasef Shaikh, MD, PhD, Satya S. Sahoo, PhD, Fatema Ghasia, MD

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Peculiarities of the algorithm of diagnostics of oral mucosa pathology in patients with Crohn’s disease and nonspecific ulcerative colitis by I. N. Usmanova, R. D. Yunusova, I. А. Lakman, L. P. Gerasimova, A. N. Ishmukhametova, A. P. Akopyan, G. F. Amineva, N. А. Makarova, E. Yu. Startseva

“…To evaluate the developed diagnostic algorithm for oral mucosal pathology in patients with CD and UC.MATERIALS AND METHODS. …”
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Clustering of ECG Signals Based on Fuzzy Neural Network with Initial Weights Generated by Genetic Algorithm by Elaheh Sayari, Mahdi Yaghoobi

“…In this regard, neural network and fuzzy logic have been used in many application areas while each of them has advantages and disadvantages. …”
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Fitness Approximation Through Machine Learning with Dynamic Adaptation to the Evolutionary State by Itai Tzruia, Tomer Halperin, Moshe Sipper, Achiya Elyasaf

“…We present a novel approach to performing fitness approximation in genetic algorithms (GAs) using machine learning (ML) models, focusing on dynamic adaptation to the evolutionary state. …”
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Solving a low-carbon routing problem for perishable distribution food by Martinson Yeboah Appiah, Sun Huaping

“…The model is solved by using a hybrid genetic algorithm with heuristic rules, after which the algorithm’s efficiency is tested with a globally recognised Proudhon data set. …”
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Expected Impact of Rubin Observatory LSST on NEO Follow-up by Tom Wagg, Mario Juric, Peter Yoachim, Jake Kurlander, Sam Cornwall, Joachim Moeyens, Siegfried Eggl, R. Lynne Jones, Peter Birtwhistle

“…With this algorithm enabled, the follow-up list would be reduced to 64 NEO candidates per night (with ∼8.4% purity). …”
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Cable Force Optimization in Cable-Stayed Bridges Using Gaussian Process Regression and an Enhanced Whale Optimization Algorithm by Bing Tu, Pengtao Zhang, Shunyao Cai, Chongyuan Jiao

“…This study proposes an integrated framework combining Gaussian process regression (GPR) with an enhanced whale optimization algorithm improved by the Salp Swarm Algorithm (EWOSSA). …”
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Intelligent Data Mining of Computer-Aided Extension Residential Building Design Based on Algorithm Library by Gao Zhihui, Zou Guangtian

“…Therefore, the author uses computer mathematical algorithm and extension theory to study and analyze the residential building design and intelligent data mining. …”
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RI-MDS: Multidimensional Scaling Iterative Localization Algorithm Using RSSI in Wireless Sensor Networks by Chun-yu Miao, Guo-yong Dai, Ke-ji Mao, Yi-dong Li, Qing-zhang Chen

“…The RI-MDS method is centralized and mainly focuses on improving localization accuracy. …”
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Models and Algorithms of Conflict Detection and Scheduling Optimization for High-Speed Train Operations Based on MPC by Zhihui Wang, Yonghua Zhou, Deng Liu

“…In order to improve the capability, this paper mainly explores the models and algorithms of conflict detection and scheduling optimization of high-speed train operations. …”
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Research on Audit Risk Prediction in Enterprise Management Based on Optimized BP Neural Network Algorithm by Wang Mingming

“…After understanding the current research status of enterprise management audit risk prediction, this paper mainly discusses the risk assessment model of audit material misstatement based on the optimized B neural network algorithm based on the BP neural network algorithm and the basic concepts of enterprise audit work, and conducts verification and analysis based on practical cases, and finally proves that the prediction results of the model are effective and scientific, which is worthy of application in enterprise management.…”
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Distributed Algorithm for Traffic Data Collection and Data Quality Analysis Based on Wireless Sensor Networks by Nan Ding, Guozhen Tan, Wei Zhang, Hongwei Ge

“…The growing need of the real-time traffic data has spurred the deployment of large-scale dedicated monitoring infrastructure systems, which mainly consist of the use of inductive loop detectors. …”
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Discrete multi-objective optimization of particle swarm optimizer algorithm for multi-agents collaborative planning by Xiao-bo SHI, Yin ZHANG, Shan ZHAO, Deng-ming XIAO

“…Although multiple mobile agents(MA)collaboration can quickly and efficiently complete data aggregation in wireless sensor network,the MA carrying data packages extensively increase along with a raise in the number of data source nodes accessed by MA,which causes unbalanced energy load of sensor nodes,high energy consumption of partial source nodes,and shortened lifetime of networks.The existing related works mainly focus on the objective of decreasing total energy consumption of multiple MA,without considering that rapidly energy consumption of partial source nodes has a negative effect on networks lifetime.Therefore,discrete multi-objective optimization of particle swarm algorithm was proposed,which used the total network energy consumption and mobile agent load balancing as fitness function for the approximate optimal itinerary plan in multiple mobile agent collaboration.Furthermore,the simulation result of the proposed algorithm is better than the similar algorithm in total energy consumption and network lifetime.…”
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Fast Decomposition Algorithm Based on Two-Dimensional Wavelet Transform for Image Processing of Graphic Design by Feifei Jiang, Wenting Yao

“…In this paper, we propose a fast decomposition algorithm image processing method based on a new transform of the wavelet transform, which mainly addresses the problems of large computation of feature points and long-time consumption of traditional image processing algorithms. …”
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Adaptive Full-Duplex and Half-Duplex Power Line Relay and Power Optimization Allocation Algorithm by Zhixiong CHEN, Honghai ZENG, Dongsheng HAN

“…In order to improve the long-distance communication capability, power line communication currently mainly adopts a two-slot half-duplex relay technology. …”
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Relay selection algorithm based on selfish behavior analysis in ultra-dense D2D by Yijun WANG, Youxu ZHANG, Dakun LIU, Guifen CHEN

“…In ultra-dense D2D communication, the current relay selection schemes mainly assume that the relay device has the initiative to participate in data forwarding, but some rational relay devices may delay or refuse to forward due to their own considerations, thus affecting the user experience.From the perspective of selfish behavior of relay devices, a method to identify selfish relay devices in D2D communication was proposed, and then an ultra-dense D2D relay selection algorithm based on selfish behavior analysis was proposed.Firstly, three relay identification attribute factors, namely joint interest degree (JID), forwarding history ratio (FHR) and relay physical state (RPS) were defined, and their weights were calculated by triangular fuzzy function to identify relay devices with selfish behavior.Secondly, based on the TOPSIS (technique for order of preference by similarity to ideal solution) method, the final relay equipment selection scheme relay was realized.Simulation results show that the proposed algorithm can identify selfish relay devices more effectively in D2D communication.Compared with other relay selection algorithms, the proposed algorithm has made significant progress in the aspects of D2D communication forwarding success rate, system average throughput and average time delay.…”
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An adaptive differential evolution algorithm using fitness distance correlation and neighbourhood-based mutation strategy by Wei Li, Yafeng Sun, Ying Huang, Jianbing Yi

“…However, the DE algorithm mainly focuses on strengthening the adaptability of exploitation, which allows the sensitivity of the DE algorithm to be solved in cases where the effects of solving various types of problems are quite different. …”
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