A novel metaheuristic optimizer GPSed via artificial intelligence for reliable economic dispatch by Mahmoud Ibrahim Mohamed, Ali M. Yousef, Ahmed A. Hafez

“…The performance of the proposed technique is evaluated using four different meta-heuristic optimizers: Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Teaching–Learning-Based Optimization (TLBO), and Artificial Gorilla Troops Optimization (AGTO). …”
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Multi-port network based modeling and selection of capacitor for desired voltage regulation of a standalone six-phase short-shunt induction generator for application in remote area... by Saikat Ghosh, S.N. Mahato

“…The performance of the machine is evaluated with the help of magnetic characteristics and other equations obtained from its per phase equivalent circuit. …”
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Method to Interpret Injection Profile of Water Injection Well Based on DTS by ZHANG Xiliang, LI Ang, WU Jie, WANG Lijun, ZUO Kai, ZHANG Zhihu

“…A simulated annealing (SA) algorithm is used to establish a DTS data inversion model for water injection wells. …”
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Combined assessment of stress hyperglycemia ratio and glycemic variability to predict all-cause mortality in critically ill patients with atherosclerotic cardiovascular diseases ac... by Fuxu Wang, Yu Guo, Yuru Tang, Shuangmei Zhao, Kaige Xuan, Zhi Mao, Ruogu Lu, Rongyao Hou, Xiaoyan Zhu

“…However, the prognostic significance of combined SHR-GV evaluation for ASCVD mortality remains unclear. This study examines associations of SHR, GV, and their synergistic effects with mortality in patients with ASCVD across different glucose metabolic states, incorporating machine learning (ML) to identify critical risk factors influencing mortality. …”
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Domain knowledge-driven decomposition-based large-scale optimization for ship cabin structures by Puyu JIANG, Jun LIU, Qiangjun LUO, Yuansheng CHENG

“…ConclusionsThe proposed algorithm has higher optimization efficiency and can obtain a better optimization solution compared to both the differential evolution algorithm directly using the using finite element method and the general black box optimization algorithm.…”
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The Application of PSO in Structural Damage Detection: An Analysis of the Previously Released Publications (2005–2020) by Parsa Ghannadi, Seyed Sina Kourehli, Seyedali Mirjalili

“…Among different algorithms, the particle swarm optimization (PSO) approach has been of the most popular ones. …”
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Application of machine learning and neural network models based on experimental evaluation of dissimilar resistance spot-welded joints between grade 2 titanium alloy and AISI 304 s... by Marwan T. Mezher, Alejandro Pereira, Rusul Ahmed Shakir, Tomasz Trzepieciński

“…However, the random forest algorithm gave the second best prediction of the MSE while the CatBoost and gradient boosting algorithms were third and fourth, respectively. …”
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Application of Adaptive Search Window-Based Nonlocal Total Variation Filter in Low-Dose Computed Tomography Images: A Phantom Study by Hajin Kim, Bo Kyung Cha, Kyuseok Kim, Youngjin Lee

“…This study models an adaptive nonlocal total variation (NL-TV) algorithm that efficiently reduces noise in X-ray-based images and applies it to low-dose CT images. …”
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Integrated transmission expansion planning incorporating fault current limiting devices and thyristor-controlled series compensation using meta-heuristic optimization techniques by Abdulaziz Almalaq, Khalid Alqunun, Rabeh Abbassi, Ziad M. Ali, Mohamed M. Refaat, Shady H. E. Abdel Aleem

“…Three TEP models incorporating fault current limiters and thyristor-controlled series compensation devices are utilized to evaluate the performance of the meta-heuristic algorithms, each representing a different scale and complexity level. …”
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A Hybrid Strategy-Improved SSA-CNN-LSTM Model for Metro Passenger Flow Forecasting by Jing Liu, Qingling He, Zhikun Yue, Yulong Pei

“…To address the issues of slow convergence and large errors in existing metaheuristic algorithms when optimizing neural network-based subway passenger flow prediction, we propose the following improvements. …”
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Estimativa do balanço de radiação por sensoriamento remoto de diferentes usos de solo no sudoeste da Amazônia brasileira / Estimative of radiation balance by remote sensing of diff... by Luiz Carlos Da Silva, José Maurício Cunha, Nadja Gomes Machado, Milton César Costa Campos, Marcelo Sacardi Biudes

“…This study aimed to evaluate the spatial and temporal distribution of estimates of net radiation and biophysical parameters from remote sensing in different land uses in southwestern Brazilian Amazon. …”
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Intelligent power control strategy based on self-tuning fuzzy MPPT for grid-connected hybrid system by H. Chaib, S. Hassaine, Y. Mihoub, S. Moreau

“…This paper investigates various methods for controlling the Maximum Power Point Tracking (MPPT) algorithm within the framework of intelligent energy control for grid-connected Hybrid Renewable Energy Systems (HRESs). …”
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Optimal setting automatic excitation controllers for synchronous generators by R. I. Kanafeev, A. D. Zhirnov, T. G. Klimova

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Sustainable closed-loop supply chain network design: heuristic hybrid approach with considering inflation and carbon emission policies by Saeid Kalantari, Hamed Kazemipoor, Farzad Movahedi Sobhani, Seyyed Mohammad Hadji Molana

“…The proposed Mixed Integer Linear Programming (MILP) model is applied in the electronics industry.Findings: The proposed model is evaluated in several experiments and discussed in different scenarios to confirm the efficiency and validity of the proposed model and method. …”
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Assessment of the effectiveness of scenarios for the adaptation of the regional economy to external economic constraints by A. V. Rezepin, I. V. Danilova, N. V. Pravdina

“…Purpose: is to evaluate the effectiveness of adaptation scenarios to the external economic constraints of the regional economy, taking into account changes in the structural characteristics of the industrial sector.Methods: to determine the "sufficient" and "necessary" conditions for effective adaptation of regions to foreign economic constraints, the study used qualitative comparative analysis using fuzzy sets (fsQCA) and the Quine-McCluskey algorithm. 27 combinations of qualitative characteristics of regional adaptation have been identified, taking into account changes in the sectoral structure of production, the degree of openness of the economy, the level of manufacturability and innovation of products. …”
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Ghost Discrimination Method for Broadband Direct Position Determination Based on Frequency Coloring Technology by Mengling Yu, Long Yang, Yixin Yang, Xionghou Liu, Lu Wang

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Study on Subway Station Street Block-Level Land Use Pattern and Plot Ratio Control Based on Machine Learning by Mingyi Kuang, Fei Fu, Fangzhou Tian, Liwei Lin, Can Du, Yuesong Zhang

“…This study takes Panda Avenue Subway Station as a case study to analyze the evolution of land use patterns around subway stations and explore optimization strategies to enhance land development efficiency and spatial utilizationTo fill this research gap, this paper proposes a CNN-AIMatch model based on machine learning algorithm and an enhanced PLUS-Markov prediction model using the increase and decrease of floor area ratio as a control measure, which adopts an increase in plot ratio as a control measure to improve the accuracy of the Kappa coefficient in different plot ratio scenarios and the prediction of 3D urban spatial growth trends. …”
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Accurately assessing congenital heart disease using artificial intelligence by Khalil Khan, Farhan Ullah, Ikram Syed, Hashim Ali

“…In addition, the article also evaluates the strengths and weaknesses of existing algorithms, offering a critical review of their performance and limitations. …”
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10 MW FOWT Semi-Submersible Multi-Objective Optimization: A Comparative Study of PSO, SA, and ACO by Souleymane Drabo, Siqi Lai, Hongwei Liu, Xiangheng Feng

“…Each algorithm’s convergence was meticulously evaluated, leading to the selection of the optimal design solution. …”
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A genetic programming-based ensemble method for long-term electricity demand forecasting by Hayat Ahmed Issa, Hasan Hüseyin Çevik, Ahmet Yilmaz, Mehmet Cunkas

“…In the initial stage, genetic algorithms, particle swarm optimization, and simulated annealing methods are applied to various regression models (linear, quadratic, and exponential). …”
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