TS-SSA: An improved two-stage sparrow search algorithm for large-scale many-objective optimization problems. by Xiaozhi Du, Kai Chen, Hongyuan Du, Zongbin Qiao

“…This paper proposes an improved sparrow search algorithm (SSA) that manages convergence and diversity separately for solving LSMaOPs, called two-stage sparrow search algorithm (TS-SSA). …”
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Computing generalized cophenetic distances under all Lp norms: A near-linear time algorithmic framework. by Paweł Górecki, Alexey Markin, Sriram Vijendran, Oliver Eulenstein

“…It is widely recognized for its versatility since it can analyze trees with edge weights using various vector norms. …”
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Presenting the AI models in predicting the settlement of earth dams using the results of spatiotemporal clustering and k-means algorithm by Behrang Beiranvand, Taher Rajaee, Mehdi Komasi

“…Therefore, the settlement location of the studied dam was determined using the results of the k-means clustering algorithm in the aforementioned AI models. The high accuracy of the results of the proposed method confirms the proper performance of using AI models in predicting and diagnosing the settlement of earthen dams using the results of k-means spatiotemporal clustering algorithm. …”
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A New Meta-heuristic Algorithm based on Multi-criteria Decision Making to Solve Community Detection Problem by Vahid Baradaran, Amir Hossein Hosseinian, Reza Derakhshani

“…The results showed that the proposed algorithm outperforms the other two methods. Since the application of MCDM approach has not been reported in the related literature, this paper can be considered as a basis for future studies.…”
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Telescope indexing for k-nearest neighbor search algorithms over high dimensional data & large data sets by Madhavan K R, Hasan Kurban, Oguzhan M. Kulekci, Mehmet M. Dalkilic

“…We then present our algorithm $$k$$ -NN with partitioning (ti $$k$$ -NN), including computational analysis and experiments. …”
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Biocomposite’s Multiple Uses for a New Approach in the Diagnosis of Parkinson’s Disease Using a Machine Learning Algorithm by Abdallah Al-Husban, Mustafa Mahdi Abdulridha, A. A. Hamad Mohamad, Abdelrahman Mohamed Ibrahim

“…Nowadays, various novel machine learning-based algorithms for evaluating Parkinson’s disease have been designed. …”
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Modeling earthquake bond prices with correlated dual trigger indices and the approximate solution using the Monte Carlo algorithm by Riza Andrian Ibrahim, Sukono, Herlina Napitupulu, Rose Irnawaty Ibrahim

“…The bond price was then formulated using a risk-neutral pricing measure with a stochastic interest rate under the Cox-Ingersoll-Ross model. Since the model lacks a closed-form solution, we employed an algorithm based on the Monte Carlo method for estimation. …”
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Detecting Anomalies in CPU Behavior Using Clustering Algorithms from the Scikit-Learn Library in Python Programming Language by Artem Turashev, Vladimir Sukhomlin

“…In this case, the issue of anomaly detection is acute, since anomalous activity detected in time can prevent a cyber attack. …”
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Performance improvement of DC motor control system using PID controller with Kookaburra and Red Panda optimization algorithm by G. Saravanan, C. Pazhanimuthu, Palanichamy Naveen

“…The convergence of solutions in KOA and RPOA is at the 70th iteration and less ITAE was obtained in RPOA since the initial population with the same time complexity of algorithms.…”
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A hybrid model of ARIMA and MLP with a Grasshopper optimization algorithm for time series forecasting of water quality by Jie Su, Ziyu Lin, Fengwei Xu, Gholamreza Fathi, Khalid A. Alnowibet

“…Therefore, in the present study, linear time series models (ARIMA), MLP model, and a hybrid model of MLP and ARIMA optimized by a Grasshopper optimization algorithm are used to predict water quality components in the statistical period of 2011–2019. …”
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Enhanced speed control of pipeline pigs with adjustable bypass using quantitative feedback theory and cascade PID algorithm by Xiaoxiao Zhu, Haokun Wang, Yichen Zhang, Shimin Zhang

“…In response to this challenge, adjustments are made to the flow rate through the pig body, thereby modifying the pressure difference and achieving a targeted speed range of 1 to 3 m/s. Since a pig with an adjustable bypass port operates in a dynamically changing state, conventional control algorithms face difficulties in providing effective control. …”
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TEXT CLASSIFICATION USING ADAPTIVE BOOSTING ALGORITHM WITH OPTIMIZATION OF PARAMETERS TUNING ON CABLE NEWS NETWORK (CNN) ARTICLES by Dewi Retno Sari Saputro, Krisna Sidiq, Harun Al Rasyid, Sutanto Sutanto

“…Therefore, this study implements the AdaBoost algorithm with parameter tuning on CNN news article classification. …”
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Model Parametrization-Based Genetic Algorithms Using Velocity Signal and Steady State of the Dynamic Response of a Motor by Mayra Cruz-Fernández, J. T. López-Maldonado, Omar Rodriguez-Abreo, Alondra Anahí Ortiz Verdín, J. Iván Amezcua Tinajero, Idalberto Macías-Socarrás, Juvenal Rodríguez-Reséndiz

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A novel framework for sentiment classification employing Bi-GRU optimized by enhanced human evolutionary optimization algorithm by Xi Wang, Samad Nourmohammadi

“…In this study, Bidirectional Gated Recurrent Unit was employed, since there were two polarities, including positive and negative. …”
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Simulation of Self-Occlusion Virtual Dataset Method for Robust Point Matching Algorithm, With Applications to Positioning of Guide Vanes by Fenglin Han, Hang Peng, Xian Wu, Haonan Ren, Yiwei Sun, Bin Su

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Review of Software Tools for Working with Evolutionary and Swarm Optimization Methods by Aleksei Nikolashkin, Nikolay Ershov

“…A special section of the study is devoted to the analysis of support of parallel computing by frameworks under consideration, since it is known that the use of population algorithms, on the one hand, is computationally expensive, and on the other hand, such algorithms have significant potential for parallelization. …”
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Investigating the impact of non-standard positioning on the accuracy of skull tracking algorithms using dual-panel imaging systems by He Huang, Lian Zhang, Yunfei Bian, Yang Dong, Hongyu Lin, Hui Xu, Ying Li

“…In clinical practice, patients do not need to maintain a strict supine position; the algorithm can accurately perform registration even if patients need to rotate their heads or lie prone. …”
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Advancements in high-resolution land surface satellite products: A comprehensive review of inversion algorithms, products and challenges by Shunlin Liang, Tao He, Jianxi Huang, Aolin Jia, Yuzhen Zhang, Yunfeng Cao, Xiaona Chen, Xidong Chen, Jie Cheng, Bo Jiang, Huaan Jin, Ainong Li, Siwei Li, Xuecao Li, Liangyun Liu, Xiaobang Liu, Han Ma, Yichuan Ma, Dan-Xia Song, Lin Sun, Yunjun Yao, Wenping Yuan, Guodong Zhang, Yufang Zhang, Liulin Song

“…Since the existing products over large regions are usually spatially discontinuous due to cloud contamination, different data fusion and data assimilation algorithms and some products for producing spatially seamless and temporally continuous products are presented. …”
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Overview of fuzzy vehicle routing problems by Yu. O. Chernyshev, V. N. Kubil, A. V. Trebukhin

“…However, it is very difficult to use Vehicle Routing Problem (VRP) solving algorithms to solve FVRP since several fundamental properties of deterministic problems are no longer fulfilled in FVRP. …”
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Multi-response optimization of CuZn39Pb3 brass alloy turning by implementing Grey Wolf algorithm by Nikolaos Fountas, Angelos Koutsomichalis, John D. Kechagias, Nikolaos M. Vaxevanidis

“…Machinability of engineering materials is crucial for industrial manufacturing processes since it affects all the essential aspects involved, e.g. workload, resources, surface integrity and part quality. …”
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