Classification of Tropical Cyclone Tracks in the Northwest Pacific Based on the SD-K-Means Model by Nan Xu, Baisong Yang, Jia Ren

“…The experimental results show that the SD-K-Means algorithm achieved high consistency across the majority of clustering indices, with the optimal number of clusters determined to be four. …”
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The Evolution of Wisteria Vein Mosaic Virus: A Case Study Approach to Track the Emergence of New Potyvirus Threats by Massimiliano Morelli, Giusy D’Attoma, Pasquale Saldarelli, Angelantonio Minafra

“…A PhyML phylogenetic analysis, supported by clustering algorithm validation, identified a clear separation between two phylogroups. …”
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Generic multidimensional economic environmental operation of power systems using equilibrium optimization algorithm by Mohamed T. Mouwafi, Adel A. Abou El-Ela, Amany A. El-Hamoly, Ragab A. El-Sehiemy

“…The numerical results obtained by the proposed EOA are compared with other optimization techniques such as grey wolf optimization, particle swarm optimization (PSO), differential evolution algorithm, and other optimization techniques in the literature. …”
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High-throughput untargeted metabolomics reveals metabolites and metabolic pathways that differentiate two divergent pig breeds by S. Bovo, M. Bolner, G. Schiavo, G. Galimberti, F. Bertolini, S. Dall’Olio, A. Ribani, P. Zambonelli, M. Gallo, L. Fontanesi

“…Comparative analyses of metabolomic profiles in purebred pigs can provide insights into the basic biological mechanisms that may explain differences in production performances. Following this concept, this study was designed to compare, on a large scale, the plasma metabolomic profiles of two Italian heavy pig breeds (Italian Duroc and Italian Large White) to indirectly evaluate the impact of their different genetic backgrounds on the breed metabolomes. …”
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An Objective Evaluation Method for Image Restoration by A. Lakshmi, Subrata Rakshit

“…Numerous complex restoration algorithms have been stated in the literature. Performance of these restoration algorithms differs with the nature of the image and distortion. …”
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Time-optimal trajectory planning for excavators operating arm based on SA-PSO algorithm by ZHANG Yunyue, ZHAO Zhicheng, YANG Kai, ZHANG Yu, YANG Jiangtao

“…ObjectiveIn view of the problems of unstable operation, low optimization efficiency and falling into local optimum when optimizing the operation trajectory with a single intelligent algorithm, this paper proposes to combine simulated annealing and particle swarm optimization (SA-PSO) to perform optimal time planning for the excavation task trajectory of the excavator operating arm.MethodsFirstly, in the D-H coordinate system, the mechanism diagram of the excavator operating arm is constructed to establish its kinematic model; secondly, the 4-3-3-3-4 piecewise polynomial is used for interpolation, and the SA-PSO algorithm is used to optimize the high-efficiency excavation task trajectory under the constraints of joint velocity and acceleration; finally, under the same operation task, the differential evolution algorithm (DE) and particle swarm optimization algorithm (PSO) are used in turn to obtain the time optimal trajectory.ResultsThe experimental results show that the optimal time trajectory obtained by the hybrid algorithm has shorter operation efficiency and the smallest impact, which can effectively reduce the wear of each joint hydraulic cylinder. …”
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An Efficient Computational Algorithm for the Nonlocal Cahn–Hilliard Equation with a Space-Dependent Parameter by Zhengang Li, Xinpei Wu, Junseok Kim

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Optimisation of decision making for construction projects of assembly buildings based on improved PSO algorithm by Peng Wang

“…To tackle the issue of early convergence in particle swarm algorithms, three swarm enhanced particle swarm algorithms are proposed by merging the variational mechanism of the differential evolution algorithm and quantifying the decision making tasks for assembly building construction projects to be solved by the enhanced particle swarm algorithm. …”
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Robust parameter inversion of coal mining subsidence based on the combination of RANSAC and DE algorithms by Yuanfei Chen, Lei Wang

“…To address this issue, this study presents the RANSAC-DE algorithm, which integrates the high precision, efficiency, and global search capabilities of the Differential Evolution (DE) algorithm with the high robustness of the Random Sample Consensus (RANSAC) algorithm. …”
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A New Bipolar Approach Based on the Rooster Algorithm Developed for Utilization in Optimization Problems by Mashar Cenk Gençal

“…Then, the performance of the BIRA algorithm was compared with the performances of meta-heuristic algorithms widely used in the literature, Standard Genetic Algorithm (SGA), Differential Evolution (DE), Particle Swarm Optimization (PSO), Cuckoo Search (CS), and Grey Wolf Optimizer (GWO), and thus, its success in the literature was tested. …”
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A Self-Adaptive Improved Slime Mold Algorithm for Multi-UAV Path Planning by Yuelin Ma, Zeren Zhang, Meng Yao, Guoliang Fan

“…This study proposes a self-adaptive improved slime mold algorithm called AI-SMA to address these issues. Firstly, AI-SMA incorporates a novel search mechanism to balance exploration and exploitation by integrating ranking-based differential evolution (rank-DE). …”
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A novel elite guidance-based social learning particle swarm optimization algorithm by QI Cheng, XIE Junwei, WANG Xue, FENG Weike, ZHANG Haowei

“…Finally, 12 benchmark test function sets covering unimodal, multimodal and rotated-multimodal functions are used to validate the performance of the proposed algorithm. The results on comparing the ESLPSO algorithm with other eight improved PSO algorithms show that the ESLPSO algorithm has excellent search performances in solving different types of functions, having efficient robustness and excellent solutions.…”
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A new multi objective crested porcupines optimization algorithm for solving optimization problems by Divya Adalja, Pinank Patel, Nikunj Mashru, Pradeep Jangir, Arpita, Reena Jangid, G. Gulothungan, Mohammad Khishe

“…MOCPO performance is compared with state-of-the-art algorithms like the Multi-Objective Gradient Based Optimizer (MOGBO), Preference inspired Differential Evolution (Pre-DEMO), Multi-Objective Exponential Distribution Algorithm (MOEDO), Pivot solution based Multi-Objective Evolutionary Algorithm (Pi-MOEA), and Clustering aided Grid based Multi-Objective Evolutionary Algorithm (ClGrMOEA). …”
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Residential Building Energy Usage Prediction Using Bayesian-Based Optimized XGBoost Algorithm by Nabaa Riyadh Baqer, Parviz Rashidi-Khazaee

“…As a result, the new proposed model provides the opportunity to be used as a strong and reliable tool in the early stages of building construction and to evaluate different designs/plans regarding energy consumption efficiency to select the best design with high reliability.…”
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The Realization of Intelligent Algorithm of Knowledge Point Association Analysis in English Diagnostic Practice System by Yanyan Zhang

“…Then, starting from the existing paper composition mode of the system, the knowledge point association rule table is introduced, and the knowledge point association relationship mining model is constructed using the association rule algorithm to explore the potential influence relationship between different knowledge points that affect the improvement of learning quality. …”
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Augmented secretary bird optimization algorithm for wireless sensor network deployment and engineering problem. by Qingwen Meng, Xi Kuang, Zihan Yu, Minghui He, Hanzhi Cui

“…Firstly, a differential collaborative search mechanism is introduced in the exploration phase to reduce the risk of the algorithm falling into local optima. …”
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An effective parameter estimation on thermoelectric devices for power generation based on multiverse optimization algorithm by Luis Fernando Grisales-Noreña, Vanessa Botero-Gómez, Rubén Iván Bolaños, Faustino Moreno-Gamboa, Daniel Sanin-Villa

“…The statistical analysis was conducted using box-and-whisker figures to assess the potential of the new method. This evaluation considered various metrics, including the best solution of each algorithm, the mean solution, the standard deviation, and the time consumed on average on each run.…”
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A Multipopulation Firefly Algorithm for Correlated Data Routing in Underwater Wireless Sensor Networks by Ming Xu, Guangzhong Liu

“…We design three kinds of fireflies and their coordination rules in order to improve the adaptability of building, selecting, and optimization of routing path considering the data correlation and their sampling rate in various sensor nodes. Different groups of fireflies conduct their optimization in the evolution in order to improve the convergence speed and solution precision of the algorithm. …”
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Software Defect Prediction Based On Deep Learning Algorithms : A Systematic Literature Review by Akhlas Hasan, Shayma Mohi-Aldeen

“…Deep learning techniques are widely used in SDP, which can produce accurate and exceptional results in different fields.The study aims to systematically review models, techniques, datasets, and performance evaluation metrics to gain a complete understanding of current methodologies related to SDP, and the use of DL in software defect prediction research between 2019 and 2024. …”
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Interpretable machine learning algorithms reveal gut microbiome features associated with atopic dermatitis by Jingtai Ma, Jingtai Ma, Yiting Fang, Yiting Fang, Shiqi Li, Shiqi Li, Lilian Zeng, Siyi Chen, Zhifeng Li, Guiyuan Ji, Xingfen Yang, Wei Wu, Wei Wu

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