Multimodal representative answer extraction in community question answering by Ming Li, Yating Ma, Ying Li, Yixue Bai

“…The improved Beluga whale optimization algorithm (MTRL-BWO), based on tent mapping, reinforcement learning, and multiple swarm strategy, is designed to increase the diversity of the population while avoiding local optima to improve the search capability and solution accuracy of the algorithm. …”
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Method for choice of industrial hall walls variants optimization by Maciej Mielcarz, Paweł Nowak

“…The current trends in the construction market require developing and completing building projects with balanced costs and the shortest execution time, while maintaining a high quality of works and properties of completed objects. …”
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An Incentive Dynamic Programming Method for the Optimization of Scholarship Assignment by Di Huang, Yu Gu, Hans Wang, Zhiyuan Liu, Jun Chen

“…The objective is to find the optimal scholarship assignment scheme with the highest equity while accounting for both the practical constraints and the equity requirement. …”
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METHOD OF QUALIFICATION ESTIMATION AND OPTIMIZATION OF PROFESSIONAL TEAMS OF PROGRAMMERS by A. A. Prihozhy, A. M. Zhdanouski

“…The problem of building and optimizing the teams of programmers taking into account the qualification and the level of skills in programming technologies and tools is considered. …”
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To select the optimal immunohistochemical staining method for pigmented melanoma by Juan Lin, Zhijie You, Xin Chen

“…For lightly pigmented melanoma, bleached with 5% H2O2 method optimally balanced tissue preservation and staining reliability. …”
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Determination of the optimal method for measuring malondialdehyde in human saliva by H. Brignot, C. Rayot, G. Buiret, T. Thomas-Danguin, G. Feron

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Which localization method is optimal in ESWL: fluoroscopy or ultrasonography? by Dursun Baba, Necati Ekici, Arda Taşkın Taşkıran, Yusuf Şenoğlu, Alpaslan Yüksel, Ekrem Başaran, Mehmet Ali Özel, Ahmet Yıldırım Balık

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Three-Dimensional Path Planning for Unmanned Aerial Vehicles Based on Hybrid Multi-Strategy Dung Beetle Optimization Algorithm by Hongmei Fei, Ruru Liu, Leilei Dong, Zhaohui Du, Xuening Liu, Tao Luo, Jie Zhou

“…To validate the effectiveness of HMSDBO, this study compares its performance with that of the Adaptive Chaotic Gray Wolf Optimization Algorithm (ACGWO), Primitive Dung Beetle Optimization Algorithm (DBO), Whale Optimization Algorithm (WOA), Crayfish Optimization Algorithm (COA), and Hyper-Heuristic Whale Optimization Algorithm (HHWOA) in complex agricultural UAV environments. …”
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A quantum-enhanced heuristic algorithm for optimizing aircraft landing problems in low-altitude intelligent transportation systems by Yong Lu, Shikang Chen, Xukun Zhang, Xiuqin Pan, Yijin Gang, Chenxu Wang

“…This study presents an Quantum-Enhanced Whale Optimization Algorithm (QEWOA) that incorporates quantum computing to tackle these challenges. …”
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APPLICATION OF QUADRATIC PROGRAMMING ON PORTFOLIO OPTIMIZATION USING WOLFE’S METHOD AND PARTICLE SWARM OPTIMIZATION ALGORITHM by Syaripuddin Syaripuddin, Fidia Deny Tisna Amijaya, Wasono Wasono, Shanaz Tulzahrah, Rara Suciati

“…Quadratic programming problems can be solved using two methods, namely classical and heuristic methods. In this research, the classical method uses Wolfe’s method, while the heuristic method uses the particle swarm optimization (PSO) algorithm. …”
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Size optimization method of the Watt-II six-bar mechanism based on particle swarm optimization by H. Ye, H. Ye, Z. Niu, Z. Niu, D. Han, D. Han, X. Su, X. Su, W. Chen, W. Chen, G. Tu, G. Tu, T. Zhu, T. Zhu

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Harnessing synergy of machine learning and nature-inspired optimization for enhanced compressive strength prediction in concrete by Abba Bashir, Esar Ahmad, Shashivendra Dulawat, Sani I. Abba

“…This study assesses nine machine learning models, integrating conventional AI algorithms, such as artificial neural network (ANN), support vector regression (SVR), and random forest (RF) with nature-inspired optimization techniques including chicken swarm optimization (CSO), moth flame optimization algorithm (MFO), and whale optimization algorithm (WOA). …”
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Aerodynamic Optimization Method for Propeller Airfoil Based on DBO-BP and NSWOA by Changjing Guo, Zhiling Xu, Xiaoyan Yang, Hao Li

“…To address the issues of tedious optimization processes, insufficient fitting accuracy of surrogate models, and low optimization efficiency in drone propeller airfoil design, this paper proposes an aerodynamic optimization method for propeller airfoils based on DBO-BP (Dum Beetle Optimizer-Back-Propagation) and NSWOA (Non-Dominated Sorting Whale Optimization Algorithm). …”
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Research on Springback Compensation Method of Roll Forming Based on Improved Fuzzy PID Control by Tengqiang Wang, Yingping Qian, Wengkang Fang, Dongqiao Zhang, Huanqi Weng, Yiran Jiang

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Automatic Optimal Design Method for Minimum Total Resistance Hull Based on Enhanced FFD Method by Shuhui Guo, Baoji Zhang, Zheng Tian, Jie Liu, Hailin Tang

“…This study aimed to improve ship performance, particularly by reducing total resistance, through automated optimization methods. To this end, an integrated, fully automated optimization program was developed based on Python, incorporating Enhanced Free-Form Deformation (FFD) technology, scripted CFD numerical evaluation, and the Particle Swarm Optimization (PSO) algorithm. …”
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A brief survey of line search methods for optimization problems by Audu Umar Omesa, Sulaiman Mohammed Ibrahim, Rabiu Bashir Yunus, Issam A.R. Moghrabi, Muhammad Y. Waziri, Aceng Sambas

“…While the literature offers general guidelines for line search selection, few studies investigate how specific problem constraints impact the performance of optimization methods. …”
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Two-layer optimization model of distribution network line loss considering the uncertainty of new energy access by Xiping Ma, Xiping Ma, Xiaoyang Dong, Haitao Xiao, Yaxin Li, Rui Xu, Kai Wei, Juanjuan Cai, Juan Wei

“…Moreover, existing distribution network optimization methods face high computational complexity, low efficiency, and susceptibility to local optima. …”
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Optimizing Cancer Detection: Swarm Algorithms Combined with Deep Learning in Colon and Lung Cancer using Biomedical Images by HariKrishna Pathipati, Lova Naga Babu Ramisetti, Desidi Narsimha Reddy, Swetha Pesaru, Mashetty Balakrishna, Thota Anitha

“…This research presents an Optimizing Cancer Detection using whale optimizer with Deep Learning in Colon and Lung Cancer (OCDWO-DLCLC) model on Biomedical Images. …”
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Enhancing Environmental DNA Sampling Efficiency for Cetacean Detection on Whale Watching Tours by Lauren Kelly Rodriguez, Belén García Ovide, Eleonora Barbaccia, Jana Robertson, Taïme Smit Pellure, Ángela Ceballos‐Caro, Caterina Lanfredi, Maddalena Jahoda, Enrico Villa, Arianna Azzellino, Marianne Helene Rasmussen, Michael Traugott, Bettina Thalinger

“…However, eDNA research is still evolving, with ongoing efforts to optimize field sampling and laboratory protocols. Building on the challenges of conventional monitoring methods, this study sought to refine eDNA sampling parameters to offer a more efficient and scalable approach for cetacean research, leveraging citizen science platforms. …”
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Prediction and Monitoring Model of Concrete Dam Deformation Based on WOA-RFR by FENG Yu, WU Yunxing, GU Wenjing, PANG Qiong, GU Yanchang, CHEN Siyu

“…However, because different parameters and corresponding parameter combinations of the primitive random forest algorithm have a great influence on the improvement and stability of the model performance, the effectiveness of the results cannot be guaranteed under the manual empirical method. Therefore, to address the parameter calibration of the random forest model, the whale optimization algorithm with strong global search ability is introduced to conduct combination optimization on key parameters. …”
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