Research on bearing fault diagnosis of reciprocating compressors based on GMDE and MFO-MKELM algorithms by LI Yanyang, WANG Jindong, NING Liuyang, MA Lei

“…ObjectiveAiming at the problem that the bearing fault feature extraction is difficult and the recognition accuracy is not high due to the characteristics of local strong non-stationarity and nonlinearity of the vibration signal of reciprocating compressor bearing clearance, a new method based on GMDE and MFO-MKELM algorithm was proposed.MethodsFirst, spread on multiscale entropy in the process of coarse graining, the average coarse graining way to a certain extent, “neutralize” the dynamics of the original signal mutation behavior, and reduce the accuracy of the entropy analysis. …”
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Research on bearing fault diagnosis based on improved northern goshawk algorithm optimizing SVM by WU Xiaojun, LI Quwei

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Research on site selection and capacity determination problem based on improved particle swarm algorithm by Xiaotong Mi, Qinyang Liu, Bo Geng, Yong Zhu

“…Secondly, the traditional particle swarm optimization (PSO) and ant colony optimization (ACO) algorithms are improved to solve problems such as slow optimization speed in the early and late stages of optimization, premature convergence, and being prone to fall into local optimum. …”
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Research on Coal Structure Prediction Method Based on Genetic Algorithm–BP Neural Network by Cunwu Wang, Xiaobo Peng, Gang Han, Yan Zhao, Yihao Zhu, Ming Zhao

“…This paper introduces the genetic algorithm (GA) to optimize the BP neural network, which can speed up its convergence to the global optimal solution, improve its training speed, and avoid the problems of easily producing the local optimal value and requiring a long training time. …”
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Research on Risk Identification of Coal Mine Ventilation Systems Based on HFACS and Apriori Algorithm by Mingjia Jing, Guoxing Zhang, Dongjie Yang, Hongli Qin

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Improved salp swarm algorithm-driven deep CNN for brain tumor analysis by Umang Kumar Agrawal, Nibedan Panda, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

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Research on the Development Model of Rural Tourism Based on Multiobjective Planning and Intelligent Optimization Algorithm by Lu Yang, Xiaoying Dong

“…The algorithm adopts a distributed multisensor fusion structure combined with consensus estimation, and each sensor first performs two-level information filtering estimation and unknown input parameter estimation locally. …”
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The Application of Compound Control Algorithm in Photovoltaic System MPPT by WANG Shenghui, LI Yilun, ZHENG Hong, GAO Shan

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Optimization of the Morphological Parameters of a Metal Foam for the Highest Sound Absorption Coefficient Using Local Search Algorithm by Mohammad Javad JAFARI, Ali KHAVANIN, Touraj EBADZADEH, Mahmood FAZLALI, Mohsen Niknam SHARAK, Rohollah Fallah MADVARI

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Enhanced Localization in Wireless Sensor Networks Using a Bat-Optimized Malicious Anchor Node Prediction Algorithm by Balachandran Nair Premakumari Sreeja, Gopikrishnan Sundaram, Marco Rivera, Patrick Wheeler

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Statistical Optimization of Underwater Lower-Frequency Sound Insulation for Locally Resonant Sonic Material Using Genetic Algorithm by Bo YUAN, Yong CHEN, Bilian TAN, Bo LI

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A Modified Sine Cosine Algorithm Based on A Novel Locally Weighted Method for Global Optimization Problems by Shahad Mohammed, Nazar Hussein, Mohammed Alkahya

“…In this research, the study proposes employing the LWSCA (Locally Weighted Sine Cosine Algorithm) as a hybrid approach to enhance the performance of the original SCA (Sine Cosine Algorithm) and mitigate its limitations. …”
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Advanced KNN-based cost-efficient algorithm for precision localization and energy optimization in dynamic underwater sensor networks by Nadia Shamshad, Lei Wang, Kiran Saleem, Danish Sarwr, Salil Bharany, Ahmad Almogren, Jaeyoung Choi, Ateeq Ur Rehman, Ayman Altameem

“…By addressing existing localization challenges, the algorithm minimizes localization errors, energy consumption and Time costs while significantly enhancing localization accuracy to 99.98%. …”
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GU-Net3+: A Global-Local Feature Fusion Algorithm for Building Extraction in Remote Sensing Images by Yali Liu, Cui Ni, Peng Wang, Dongqing Yang, Hexin Yuan, Chao Ma

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Optimizing energy constrained target localization and tracking with radial bias and seeker optimization algorithms in wireless sensor networks by S. Yazhinian, S. Famila, P. Jose, Mahendar A, Sofia R

“…The simulation results show that the recommended strategy decreases particles, speeds up positioning and tracking, and maintains target localization and tracking accuracy. It is seen that the proposed RadB_SOA achieves 12.4 % of transmission error, 14.6 % of ranging error, 96.3 % of localization coverage, 98.65 % of PDR, and 21.56 % of energy consumption. • The Radial Bias-Seeker Optimization Algorithm (RadB_SOA) suggested enhances the precision in target localization and optimizes energy usage in wireless sensor networks. • Simulation outcomes reveal improved tracking accuracy, minimized transmission and ranging errors, as well as increased localization coverage over current techniques. • The research presents an extensive evaluation of particle count fluctuations in RBSO, demonstrating enhanced positioning speed and precision with network efficiency.…”
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Research on path planning of mobile robot in complex environment by Haibin Liu, Jingjing Cao, Zhiyuan Wang

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Research on accurate ranging of UWB under indoor environments by WU Shao-hua, ZHANG Nai-tong

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Hybridization and Optimization of Bio and Nature-Inspired Metaheuristic Techniques of Beacon Nodes Scheduling for Localization in Underwater IoT Networks by Umar Draz, Tariq Ali, Sana Yasin, Muhammad Hasanain Chaudary, Muhammad Ayaz, El-Hadi M. Aggoune, Isha Yasin

“…This research introduces a hybrid approach combining bio- and nature-inspired metaheuristic algorithms to enhance scheduling efficiency and minimize energy consumption in Underwater Acoustic Sensor Networks (UASNs). …”
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Community-Based Memetic Algorithm for Influence Maximization in Large-Scale Networks by Mithun Roy, Indrajit Pan

“…This algorithm combines the concept of genetic algorithm with a reachability-based local search method to accelerate the convergence process. …”
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Two-stage Community Discovery Algorithm for Multi-point Seed Prepartition by TONG Shuai, CHEN De-yun, YANG Hai-lu

“…Community detection is an important content in the field of online social networks research. The community detection algorithm based on seed expansion has the characteristics of low time complexity，high recognition accuracy，and is not restricted by the shape of the community. …”
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