Many-Objective Cheetah Optimizer: A Novel Paradigm for Solving Complex Engineering Problems by Pinank Patel, Divya Adalja, Nikunj Mashru, Pradeep Jangir, Arpita, Reena Jangid, G. Gulothungan, Ahmad O. Hourani, Kaznah Alshammari

“…MaOCO produces hypervolume (HV) results that exceed NSGA-III and MaOMVO by 50% while also delivering inverse generational distance (IGD) results which reach 40% better than both competing methods. …”
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Optimizing Conservative Management of Groin Pain in Athletes: Insights from a Narrative Review by Roberto Tedeschi, Federica Giorgi, Daniela Platano, Lisa Berti, Danilo Donati

“…<b>Methods:</b> This narrative review analyzed the available literature on conservative management of groin pain in athletes. …”
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Analysis of optimizing Bicon short implant placement in posterior mandible with type II bone by Mingyi Ji, Xinyi Ji, Junfeng Xu

“…This study employs finite element analysis (FEA) to assess a typical Bicon short implant system, with the objective of determining the most effective implant for the posterior mandibular region with type II bone. Methods Eight three-dimensional finite element models were developed using three different diameters of Bicon implants (4.5 mm, 5 mm, and 6 mm) and three varying lengths (5 mm, 6 mm, and 8 mm). …”
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Optimal protamine dosing after cardiopulmonary bypass: The PRODOSE adaptive randomised controlled trial. by Lachlan F Miles, Christiana Burt, Joseph Arrowsmith, Mikel A McKie, Sofia S Villar, Pooveshnie Govender, Ruth Shaylor, Zihui Tan, Ravi De Silva, Florian Falter

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Optimal spirometry thresholds for the prediction of chronic airflow obstruction: a multinational longitudinal study by Abby H.S. Lam, Sheikhah A. Alhajri, James Potts, Imed Harrabi, Mahesh Padukudru Anand, Christer Janson, Rune Nielsen, Dhiraj Agarwal, Andrei Malinovschi, Sanjay Juvekar, Meriam Denguezli, Thorarinn Gislason, Rain Jõgi, Vanessa Garcia-Larsen, Rana Ahmed, Asaad Ahmed Nafees, Parvaiz A. Koul, Althea Aquat-Stewart, Peter Burney, Ben Knox-Brown, Andre F.S. Amaral

“…Spirometry parameters were good at discriminating chronic airflow obstruction incidence (area under the curve 0.80–0.84), while respiratory symptoms performed poorly. The optimal z-score threshold was identified for pre-bronchodilator forced expiratory volume in 1 s to forced vital capacity ratio (FEV1/FVC) <−1.336, equivalent to the 9th percentile (sensitivity: 78%, specificity: 72%). …”
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Optimization of power output in plateau photovoltaic power stations using a hybrid Kepler and Gaussian quantum particle swarm algorithm by Shuang Gan, Heng Hu, Shaoshuai Li, Qian Peng, Taidong Yan, Huasheng Gong, Yuancheng Zhang

“…The proposed solution integrates the Kepler Optimization Algorithm (KOA) with the Gaussian Quantum Improved Particle Swarm Optimization (GQPSO) to address multi-objective optimization, with the goal of maximizing power generation, minimizing operational costs, and enhancing system stability. …”
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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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UGC-Net: Uncertainty-Guided Cost Volume Optimization with Contextual Features for Satellite Stereo Matching by Wonje Jeong, Soon-Yong Park

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Research on Stacking Distribution of Steel Plates Input Based on Improved Multi-objective Particle Swarm Optimization by ZHONG Chuanjie, CHENG Wenming, DU Run, GAO Xuchao, ZHANG Lin

“…Compared to the traditional stacking method used before optimization, the optimized stacking distribution scheme improved by 19.35%, 4.97%, and 62.23% under the three objectives, respectively, indicating a more significant optimization effect.ConclusionsBased on the actual demand of enterprises for optimizing automatic steel plate warehouse loading decisions, the PCDMOPSO algorithm has demonstrated good performance in the simulation test of solving the stack allocation model. …”
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Replica exchange enhanced adaptively weighted stochastic gradient Langevin dynamics for Bayesian sampling and optimization by Zhenqing Wu, Wenwu Gong, Ziying Yu, Liuxin Zhu, Lili Yang

“…By merging the 1/k-ensemble and replica exchange methods, this algorithm effectively escapes local traps in Monte Carlo simulation and non-convex optimization. …”
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Optimal Controller Design for a Mobile Robot Using Genetic Algorithm and Adaptive PID Controller by Jin-Hyun Park

“…Simulation results show that the kinematic controller generates optimal trajectories more effectively than traditional techniques, while the adaptive PID controller maintains optimal performance despite disturbances and mass variations. …”
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Frequency-Decoupled Dual-Stage Inverse Lithography Optimization via Hierarchical Sampling and Morphological Enhancement by Jie Zhou, Qingyan Zhang, Haifeng Sun, Chuan Jin, Ji Zhou, Junbo Liu

“…However, traditional gradient-based ILT methods often struggle with the trade-off between imaging fidelity and mask manufacturability due to coupled optimization objectives. …”
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Investigation of Dynamic Characteristics of an Automated Position Long-Stroke Pneumatic Actuator of Fabrication System by D. A. Korotych, V. S. Sidorenko, S. P. Prikhodko

“…This will increase the productivity of processes  while  providing  the  declared  accuracy.  The  objective  of  the  work  is  to  obtain  a  mathematical  model  and dependences of the critical parameters of the proposed automated position long-stroke pneumatic drive of fabrication system in the areas of acceleration, steady-speed movement, deceleration, and braking.Materials and Methods. …”
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A mechanism of topology optimization for underwater acoustic sensor networks based on autonomous underwater vehicles by Ming He, Fangxin Liu, Zhuang Miao, Huan Zhou, Qiuli Chen

“…To solve this problem, a topology optimization method, also called TO-A algorithm, is developed based on topology reconfiguration. …”
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A Transfer Matrix Norm-Based Framework for Multimaterial Topology Optimization: Methodology and MATLAB Implementation by Giacomo Galuppini, Paolo Venini

“…While the proposed method is inherently capable of addressing the dynamic response of multimaterial structures, this study focuses exclusively on static topology optimization. …”
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Coverage optimization and node minimization in WSNs: an enhanced hybrid PSO approach with spatial position encoding by Yinghua Tong, Lianhai Lin, Liqin Tian, Zhigang Wang, Wenxing Wu, Junyi Wu

“…This paper presents an enhanced hybrid particle swarm optimization (EHPSO) algorithm that incorporates a spatial position encoding (SPE) strategy to optimize coverage while dynamically adjusting the number of sensors deployed in WSNs. …”
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Optimization of Hydronic Heating System in a Commercial Building: Application of Predictive Control with Limited Data by Rana Loubani, Didier Defer, Ola Alhaj-Hasan, Julien Chamoin

“…Optimizing building equipment control is crucial for enhancing energy efficiency. …”
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Hybrid transformer and convolution iteratively optimized pyramid network for brain large deformation image registration by Xinxin Cui, Yuee Zhou, Caihong Wei, Guodong Suo, Fengqing Jin, Jianlan Yang

“…Extensive experimental results on three public brain magnetic resonance imaging datasets show that our method has the highest registration accuracy compared with 9 cutting-edge registration methods, which fully verifies the effectiveness and application potential of our model design.…”
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Nonlinear Path Optimization Algorithm for Mining Trucks Based on Two-Layer Trust Region Strategy by PENG Fan, HU Yunqing, LIU Yong, DENG Mukun, LUO Yu, LIU Xibing

“…Then, a state-space discrete model was constructed for path optimization. The adoption of a backtracking linear search method in the inner loop allows for fine-tuning the inner-loop search direction and step size. …”
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Optimizing irrigation management: evaluating silage maize water requirements using soil moisture monitoring by Iman Hajirad

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