Source-detector trajectory optimization for FOV extension in dental CBCT imaging by S M Ragib Shahriar Islam, Ander Biguri, Claudio Landi, Giovanni Di Domenico, Benedikt Schneider, Pascal Grün, Cristina Sarti, Ramona Woitek, Andrea Delmiglio, Carola-Bibiane Schönlieb, Dritan Turhani, Gernot Kronreif, Wolfgang Birkfellner, Sepideh Hatamikia

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Constraint-aware wind power forecasting with an optimized hybrid machine learning model by Md. Omer Faruque, Md. Alamgir Hossain, S.M. Mahfuz Alam, Muhammad Khalid

“…Additionally, the proposed optimization techniques were bench-marked against the Bayesian optimization process (BOP) with a tree prazen sampler and particle swarm optimization (PSO). …”
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Cons-training tensor networks: Embedding and optimization over discrete linear constraints by Javier Lopez-Piqueres, Jing Chen

“…Central to our approach is the concept of a quantum region, an extension of quantum numbers traditionally used in $U(1)$ symmetric tensor networks, adapted to capture any linear constraint, including the unconstrained scenario. …”
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Total Tardiness Minimization in a Single-Machine with Periodical Resource Constraints by Bruno Prata, Levi Ribeiro de Abreu, Marcelo Seido Nagano

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Optimal cropping patterns and intertemporal groundwater usage under extraction constraints in Oklahoma’s panhandle by Lixia H. Lambert, Yiqing Yao, Lucia R. Levers

“…Surface water supply is limited compared to the extensive yet overly exploited groundwater resources of the Ogallala Aquifer. …”
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An Extensive Study Using the Beetle Swarm Method to Optimize Single and Multiple Objectives of Various Optimal Power Flow Problems by K. Sriram, S. P. Mangaiyarkarasi, S. Sakthivel, L. Jebaraj

“…This article deals with the use of beetle swarm optimization algorithm (BSOA), for optimal power flow (OPF) solution, in an effective approach. …”
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Crash Frequency Minimization with Severity Mitigation in Road Geometric Design Using Chance Constraint Programming Optimization by Wei Li, Minjiao Zhang, Anuj Sharma

“…In this paper, we propose a decision-making scheme combining statistical analysis and optimization modeling to be used in transportation safety study. …”
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Second-order design of GNSS networks with different constraints using particle swarm optimization and genetic algorithms by Al Shouny Ahmed

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Proportional Topology Optimization algorithm with virtual elements for multi-material problems considering mass and cost constraints by Minh Tuan Tran, Minh Ngoc Nguyen

“… This paper presents an extension of the Proportional Topology Optimization (PTO) with virtual elements for multi-material problems with mass and cost constraints. …”
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An Extension of Ozone Profile Retrievals from TROPOMI Based on the SAO2024 Algorithm by Juseon Bak, Xiong Liu, Gonzalo González Abad, Kai Yang

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Electric Vehicle Routing Problem with Heterogeneous Energy Replenishment Infrastructures Under Capacity Constraints by Bowen Song, Rui Xu

“…This paper addresses the EVRP with HERIs under various capacity constraints (EVRP-HERI-CC), proposing a mixed-integer programming (MIP) model and a hybrid ant colony optimization (HACO) algorithm integrated with a variable neighborhood search (VNS) mechanism. …”
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Optimization study of station track utilization in high-speed railroad based on constraints of control in random origin and process by Yajing Zheng, Dekun Zhang

“…By continuously adjusting the weighting coefficients of the linear objectives, the method is able to optimize the Pareto solution. Notably, this approach does not require extensive scene data to obtain a satisfactory Pareto solution set. …”
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Phonological alterations of alveolar lateral sounds in Mewati: An analysis using Optimality Theory by Dedy Suhery, Mohd Hamid Raza, Zahratul Idami, Shafrida Wati, Cut Intan Meutia, Dessy Kurniasy, Rita Mahriza

“…Fieldwork, in-depth interviews, and audio recordings were used to acquire extensive data. Together, these three data sources contribute to a comprehensive understanding of the phonological alteration under investigation. …”
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An Active-Set Algorithm for Convex Quadratic Programming Subject to Box Constraints with Applications in Non-Linear Optimization and Machine Learning by Konstantinos Vogklis, Isaac E. Lagaris

“…Extensive numerical experiments demonstrate the method’s superior performance in handling large-scale problems, making it an ideal choice for contemporary optimization tasks. …”
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A Robust Multi-Objective Evolutionary Framework for Artificial Island Construction Scheduling Under Dynamic Constraints by Tianju Zheng, Liping Sun, Mingwei Li, Guangyao Yuan, Shuqi Li

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Algorithm for Finding Feedback in a Problem with Constraints for One Class of Nonlinear Control Systems by Michail G. Dmitriev, Zainelkhriet N. Murzabekov, Gulbanu A. Mirzakhmedova

“…The proposed synthesis construction algorithm is constructed using the extension principle proposed by V. F. Krotov and developed by V. …”
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Key Parameters for Design Analysis and Optimization of Dynamic Inter-Array Power Cable Configurations in Floating Offshore Wind Farms by Anja Schnepf, Ove Tobias Gudmestad

“…The configuration, design, and optimization of power cables for floating offshore wind turbines (FOWTs) are subject to various objectives, variables, and constraints. …”
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Multi-Objective Ore Blending Optimization for Polymetallic Open-Pit Mines Based on Improved Matter-Element Extension Model and NSGA-II by Jun Xiang, Jianhong Chen, Aishu Zhang, Xing Zhao, Shengyuan Zhuo, Shan Yang

“…The NSGA-II algorithm is employed to solve the multi-objective optimization problem, generating a Pareto optimal solution set from which the optimal ore blending scheme is selected using the improved matter-element extension model. …”
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A note on the use of influenza vaccination strategies when supply is limited by Sunmi Lee, Romarie Morales, Carlos Castillo-Chavez

“…In this note, we use optimal control theory to explore the impact of some of the constraints faced by most nations in implementing a public health policy that tried to meet the challenges that come from having access only to a limited vaccine supply that is never 100% effective.…”
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Fair Probabilistic Multi-Armed Bandit With Applications to Network Optimization by Zhiwu Guo, Chicheng Zhang, Ming Li, Marwan Krunz

“…Online learning, particularly Multi-Armed Bandit (MAB) algorithms, has been extensively adopted in various real-world networking applications. …”
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