A Support Vector Machine Model with Hyperparameters Optimised by Mind Evolutionary Algorithm for Assessing Permeability of Rock by Wenjin Zhu, Zhiming Chao, Guotao Ma

“…Meanwhile, the Genetic Algorithm- (GA-) and Particle Swarm Algorithm- (PSO-) SVM models were constructed to compare the improving effects of MEA on the foretelling accuracy of machine learning models with those of GA and PSO, respectively. …”
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A Novel Damage Detection Algorithm using Time-Series Analysis-Based Blind Source Separation by A. Sadhu, B. Hazra

“…In this paper, a novel damage detection algorithm is developed based on blind source separation in conjunction with time-series analysis. …”
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Optimization and Performance Improvement of Grid-Connected PV Plant Based on ANN-PSO and P&O Algorithms by Abdalftah Hamed Ali, Atabak Najafi

“…However, time response, oscillation, and stability are the three most important factors to consider when evaluating the effectiveness of any MPPT algorithm. The results show that the ANN trained by the performance of the PSO algorithm was better in time response, tracking speed, and oscillation than the P&O algorithm and could identify the new power point quickly. …”
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Variable Is Better Than Invariable: Sparse VSS-NLMS Algorithms with Application to Adaptive MIMO Channel Estimation by Guan Gui, Zhang-xin Chen, Li Xu, Qun Wan, Jiyan Huang, Fumiyuki Adachi

“…Second, different sparse penalties are introduced to VSS-NLMS algorithm for ASCE. In addition, difference between sparse ISS-NLMS algorithms and sparse VSS-NLMS ones is explained and their lower bounds are also derived. …”
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An Efficient Two-Objective Hybrid Local Search Algorithm for Solving the Fuel Consumption Vehicle Routing Problem by Weizhen Rao, Feng Liu, Shengbin Wang

“…To tackle the FCVRP’s computational intractability, we propose an efficient two-objective hybrid local search algorithm (TOHLS). TOHLS is based on a hybrid local search algorithm (HLS) that is also used to solve FCVRP. …”
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Improved Algorithm for Gradient Vector Flow Based Active Contour Model Using Global and Local Information by Jianhui Zhao, Bingyu Chen, Mingui Sun, Wenyan Jia, Zhiyong Yuan

“…Main contributions of this paper are a new algorithm to determine the false part of active contour with higher accuracy from the global force of gradient vector flow and a new algorithm to update the external force field together with the local information of magnetostatic force. …”
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A Quality Control Method Based on an Improved Kernel Regression Algorithm for Surface Air Temperature Observations by Xiaoling Ye, Yajin Kan, Xiong Xiong, Yingchao Zhang, Xin Chen

“…An improved kernel regression (IKR) method based on an adaptive algorithm and particle swarm optimization is proposed. …”
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Computing a Many-to-Many Matching with Demands and Capacities between Two Sets Using the Hungarian Algorithm by Fatemeh Rajabi-Alni, Alireza Bagheri

“…In this article, we give a polynomial-time algorithm for finding a minimum-cost MMDC between two sets using the well-known Hungarian algorithm.…”
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Simulation of the Compressive Strength of Cemented Tailing Backfill through the Use of Firefly Algorithm and Random Forest Model by Qi-Ang Wang, Jia Zhang, Jiandong Huang

“…In the present study, the research process to use artificial intelligence algorithms to predict the compressive strength of cemented tailing backfill was conducted, overcoming the shortcomings of traditional empirical formulas. …”
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Prediction and optimization of acoustic absorption performance of quasi-Helmholtz acoustic metamaterials based on LightGBM algorithm by Jianxin Xu, Weikang Mao, Xiaoqian Yu, Bingfei Liu

“…This thesis aims to optimize and predict the acoustic absorption performance of quasi-Helmholtz acoustic metamaterials by using LightGBM algorithm in machine learning. In this study, the hole diameter, hole neck length, pore wall thickness, cavity wall thickness, and inner cavity depth of the quasi-Helmholtz acoustic metamaterial are selected as the characteristic factors, and the peak absorption coefficient of the quasi-Helmholtz acoustic metamaterial tended to be close to 1 and the minimum frequency of the peak sound absorption was selected as the optimization objectives. …”
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Modified Least Squares Algorithm for Three-Dimensional Target Location Based on Wireless Communication Base Stations by Zhaohui Zhang, Jing Li, Qian Liu

“…The simulations illustrate that the location error of the proposed algorithm is smaller than those of other existing algorithms based on the same simulation data and conditions.…”
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A Novel Fuzzy Algorithm to Introduce New Variables in the Drug Supply Decision-Making Process in Medicine by Jose M. Gonzalez-Cava, José Antonio Reboso, José Luis Casteleiro-Roca, José Luis Calvo-Rolle, Juan Albino Méndez Pérez

“…In this research, a novel algorithm to approach this problem is presented. The main objective of this study is to provide a new general algorithm capable of determining the influence of a certain clinical variable in the decision making process for drug supply and then defining an automatic system able to guide the process considering this information. …”
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Radial Basis Function Coupling with Metaheuristic Algorithms for Estimating the Compressive Strength and Slump of High-Performance Concrete by Amir Reza Taghavi Khangah, Erfan Khajavi, Hasti Azizi, Amir Reza Alizade Novin

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Analytical Predictor-Corrector Guidance Algorithm Based on Drag Modulation Flight Control System for Mars Aerocapture by Yu-ming Peng, Bo Xu, Bao-dong Fang, Han-lun Lei

“…Numerical simulation is used to evaluate performance and robustness of the algorithm. The simulation results show that the guidance algorithm is accurate and robust, which can effectively overcome the influence of atmospheric density error, aerodynamic parameter error, and initial state uncertainty.…”
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A novel Fruit Fly Optimization Algorithm with quasi-affine transformation evolutionary for numerical optimization and application by Ru-Yu Wang, Pei Hu, Chia-Cheng Hu, Jeng-Shyang Pan

“…The Fruit Fly Optimization Algorithm is a swarm intelligence algorithm with strong versatility and high computational efficiency. …”
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Hybrid Simulated Annealing-Evaporation Rate-Based Water Cycle Algorithm Application for Medical Image Enhancement by Eyob Mersha Woldamanuel

“…The performance of the proposed algorithm was compared to histogram equalization (HE), low contrast stretching (LCS), contrast-limited adaptive histogram equalization (CLAHE), particle swarm optimization (PSO), accelerated PSO (APSO), and the water cycle algorithm (WCA). …”
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Cluster Density of Dependent Thinning Distributed Clustering Class of Algorithms in Ad Hoc Deployed Wireless Networks by Sankalpa Gamwarige, Chulantha Kulasekere

“…An analytical technique to determine the cluster density of this class of algorithms is proposed. This information is required to set the algorithm parameters before a wireless network is deployed. …”
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A Solution to Reconstruct Cross-Cut Shredded Text Documents Based on Character Recognition and Genetic Algorithm by Hedong Xu, Jing Zheng, Ziwei Zhuang, Suohai Fan

“…Computational experiments suggest that the presented algorithm is of high precision and efficiency, and that the algorithm may be useful for the different size of cross-cut shredded text document.…”
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An Educational Approach to Higgs Boson Hunting Using Machine Learning Classification Algorithms on ATLAS Open Data by Ayşe Bat

“…In this study, the performance of several classification algorithms that are used to separate the H → ττ signal from background is investigated. …”
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A Novel Approach to Supply the Water Reservoir Demand Based on a Hybrid Whale Optimization Algorithm by Alireza Donyaii, Amirpouya Sarraf, Hassan Ahmadi

“…The model evaluative indicators and an objective function were used to select the optimal algorithm. The findings suggested that IWOA resulted in the lowest computational duration and fastest convergence rate compared to the other algorithms. …”
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