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  1. 141

    Optimizing concrete crack detection an echo state network approach with improved fish migration optimization by Zhichun Fang, Xiuhong Wang, Jiaojiao Gao, Behrooz Eskandarpour

    Published 2025-01-01
    “…This paper proposes an enhanced version of the fish migration optimization (IFMO) method combined with an optimized echo state network (ESN) model for concrete fracture detection using the combination form is established for improving the detection accuracy of the model by optimal arrangement of the ESN. …”
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  2. 142

    Surrogate-assisted global and distributed local collaborative optimization algorithm for expensive constrained optimization problems by Xiangyong Liu, Zan Yang, Jiansheng Liu, Junxing Xiong, Jihui Huang, Shuiyuan Huang, Xuedong Fu

    Published 2025-01-01
    “…Abstract This paper presents a surrogate-assisted global and distributed local collaborative optimization (SGDLCO) algorithm for expensive constrained optimization problems where two surrogate optimization phases are executed collaboratively at each generation. …”
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  3. 143

    An adapted Black Widow Optimization Algorithm for Financial Portfolio Optimization Problem with cardinalty and budget constraints by Rahenda Khodier, Ahmed Radi, Basel Ayman, Mohamed Gheith

    Published 2024-09-01
    “…Abstract Financial Portfolio Optimization Problem (FPOP) is a cornerstone in quantitative investing and financial engineering, focusing on optimizing assets allocation to balance risk and expected return, a concept evolving since Harry Markowitz’s 1952 Mean-Variance model. …”
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  4. 144

    A Multi-Strategy Improved Horned Lizard Optimization Algorithm and Its Application in Engineering Optimization by Yancang Li, Jinfan Zhang, Zidong Jin, Weitao Qiao

    Published 2025-04-01
    “…These advances establish the computational efficiency and reliability of MSHLOA for engineering problems, providing a general example of an augmented meta-heuristic algorithm that offers a new, more efficient solution to engineering structural optimization problems.…”
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  5. 145

    An improved dung beetle optimizer based on Padé approximation strategy for global optimization and feature selection by Tianbao Liu, Lingling Yang, Yue Li, Xiwen Qin

    Published 2025-03-01
    “…This strategy yielded a more uniform distribution of the initial population, significantly improving the quality of the population distribution within the search space. …”
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  6. 146

    Enhancing Multi-Objective Optimization: A Decomposition-Based Approach Using the Whale Optimization Algorithm by Jorge Ramos-Frutos, Angel Casas-Ordaz, Saúl Zapotecas-Martínez, Diego Oliva, Arturo Valdivia-González, Abel García-Nájera, Marco Pérez-Cisneros

    Published 2025-02-01
    “…However, when dealing with multi-objective optimization, particularly when the objectives are conflicting, identifying the best solution becomes significantly more complex. …”
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  7. 147

    Text classification using SVD, BERT, and GRU optimized by improved Seagull optimization (ISO) algorithm by Yuanyuan Chen, Nan Sun, Yuanbang Li, Rong Peng, Abbas Habibi

    Published 2025-06-01
    “…Over time, techniques for text classification have progressed from rule-based methods to more advanced deep learning and machine learning approaches. …”
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  8. 148

    Financial frictions and stock return: A novel least minus more frictional factor for asset pricing models in emerging economies. by Saifullah Khan, Adnan Shoaib, Rehan Aftab, Muhammad Yasir, Muhammad Bilal Saeed

    Published 2025-01-01
    “…Macroeconomic and microeconomics frictions are found to be more pronounced in Pakistan compared to other countries, while financial market frictions are more acute in India, and firm-level frictions are most significant in China. …”
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  9. 149

    Less Is More: Design Considerations for Interactive Pharmacometrics Tools—A Case Study Using the Model Visualization Platform (MVP) App by Steve Choy, Jin Gyu Kim, Julia Korell

    Published 2025-05-01
    “…Initially, shiny apps are developed ad hoc (i.e. project specific) to provide simulations, and their complexity have evolved to be more general‐purpose and “platform‐like” in recent years. …”
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  10. 150
  11. 151

    Absolute Quantitative Metagenomic Analysis Provides More Accurate Insights for the Anti-Colitis Effect of Berberine via Modulation of Gut Microbiota by Jiaguo Zhan, Jiale Cheng, Wenhui Chang, Yuying Su, Xixin Yue, Chongming Wu

    Published 2025-03-01
    “…This study aims to identify the optimal method for microbiome analysis by comparing relative and absolute quantitative sequencing. …”
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  12. 152

    The Bony Density of the Pedicle Plays a More Significant Role in the Screw Anchorage Ability Than Other Regions of the Screw Trajectory by Zan Chen, Yue Chen, Jiajun Zhou, Yanwei He, Jingchi Li

    Published 2025-02-01
    “…The innovation of bony augmentation strategies should pay more attention to this region to optimize the screw anchorage ability effectively.…”
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  13. 153
  14. 154

    Leveraging Harris Hawks Optimization for Enhanced Multi-Objective Optimal Power Flow in Complex Power Systems by Fahad Alsokhiry

    Published 2024-12-01
    “…The utilization of Harris Hawks Optimization (HHO) for Multi-Objective Optimal Power Flow (MaO-OPF) challenges presented in this paper is both novel and compelling, as this approach has not been previously applied to these types of optimization problems. …”
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  15. 155

    Stochastic Optimal Control for Uncertain Structural Systems Under Random Excitations Based on Bayes Optimal Estimation by Hua Lei, Zhao-Zhong Ying, Zu-Guang Ying

    Published 2025-05-01
    “…The minimax optimal control by combining the Bayes optimal estimation and minimax stochastic dynamical programming will be more effective and robust. …”
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  16. 156

    CNN-LSTM Model Optimized by Bayesian Optimization for Predicting Single-Well Production in Water Flooding Reservoir by Lei Zhang, Hongen Dou, Kun Zhang, Ruijie Huang, Xia Lin, Shuhong Wu, Rui Zhang, Chenjun Zhang, Shaojing Zheng

    Published 2023-01-01
    “…This study is considering more than 60 dynamic and static factors that affect the changes of oil well production, introduce water injection parameters into data set, select 11 main control factors, and then, build a CNN-LSTM model optimized by Bayesian optimization. …”
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  17. 157

    Optimization Management of Storage Location in Stereoscopic Warehouse by Integrating Genetic Algorithm and Particle Swarm Optimization Algorithm by Shuhong Zhang, Xianghui Zheng, Fan Xu, Suzhen Wang, Qixia Zhang, Yuan Cao

    Published 2024-01-01
    “…The iteration required to reach the optimal value in Situation 1 was only 80, which was 90 fewer than PSO. …”
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  18. 158

    Minimum Revenue Guarantee and Toll Revenue Cap Optimization for Ppp Highways: Pareto Optimal State Approach by Yuanqing Wang, Zihua Li, Yanan Gao

    Published 2015-12-01
    “…Compared with the statistics of the Net Present Value under different cases, it was summarized that when the objective is minimizing the variance of the total Net Present Value, the investors will realize the Pareto optimal state between the return and risk. In addition, it was found that the government is more sensitive to the Minimum Revenue Guarantee and Toll Revenue Cap marginal values according to the sensitive analysis. …”
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  19. 159

    An Improved Equilibrium Optimizer for Optimal Placement of Distributed Generators in Distribution Systems considering Harmonic Distortion Limits by Thai Dinh Pham, Thang Trung Nguyen, Le Chi Kien

    Published 2022-01-01
    “…This paper proposes an improved equilibrium optimizer (IEO) for determining optimal location and effective size of distributed generation units (DGUs) in the distribution systems in order to minimize the total power loss on distribution branches, investment cost, and operation and maintenance cost. …”
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  20. 160

    Diagnosis and classification of neuromuscular disorders using Bi-LSTM optimized with grey Wolf optimizer for EMG signals by Ruth Keziah Mani, Balakrishnan Nagaraj

    Published 2025-06-01
    “…By leveraging GWO for hyperparameter optimization, the study aims to achieve more accurate diagnosis and efficient tracking of rehabilitation outcomes for patients with neuromuscular disorders. …”
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