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1

Shang, Kun, and Kai Zhang. "Three-Dimensional Sonar Imaging Software on the DSP." Advanced Materials Research 219-220 (March 2011): 49–52. http://dx.doi.org/10.4028/www.scientific.net/amr.219-220.49.

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This paper has explored the design of three-dimensional imaging sonar software and its application to the hardware platform. In the process of designing, the software has been optimized in view of characteristics of the hardware structures and calculation of the TMS320C6416, and the specific optimization methods and effects have also been presented. It turns out that the effect of software optimization is obvious and the working system stable and reliable.
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2

Brune, Alexander, and Michal Kočvara. "On Barrier and Modified Barrier Multigrid Methods for Three-Dimensional Topology Optimization." SIAM Journal on Scientific Computing 42, no. 1 (2020): A28—A53. http://dx.doi.org/10.1137/19m1254490.

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3

Rebai, Maher, Matthieu le Berre, Faicel Hnaien, and Hichem Snoussi. "Exact Biobjective Optimization Methods for Camera Coverage Problem in Three-Dimensional Areas." IEEE Sensors Journal 16, no. 9 (2016): 3323–31. http://dx.doi.org/10.1109/jsen.2016.2519451.

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4

Simonetti, Hélio Luiz, Valério Silva Almeida, Francisco de Assis das Neves, Vírgil Del Duca Almeida, and Luttgardes de Oliveira Neto. "Reliability-Based Topology Optimization: An Extension of the SESO and SERA Methods for Three-Dimensional Structures." Applied Sciences 12, no. 9 (2022): 4220. http://dx.doi.org/10.3390/app12094220.

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This study takes an approach to reliability-based topology optimization (RBTO) for 3D structures by applying an expansion of smoothing evolutionary structural optimization (SESO) and sequential element rejection and admission (SERA) for three-dimensional optimization. In the search for the stable optimal solution, and a more reliable structure, we present a performance index with the ability to monitor the evolutionary optimization procedure and adopt the filtering scheme usually applied in solid isotropic material with penalization (SIMP). The limit state functions are the maximum displacemen
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5

Vozniak, Oleh, and Valery Korobov. "Time-optimal controlonasubspaceforthetwoand three-dimensional system." V. N. Karazin Kharkiv National University. Ser. Mathematics, Applied Mathematics and Mechanics, no. 100 (December 23, 2024): 48–60. https://doi.org/10.26565/2221-5646-2024-100-03.

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This article is devoted to the problem of the optimal synthesis on a subspace for the 2 and 3-dimensional case for the linear control system $\dot{x_1} = u, \dot{x}_i=x_{i-1}, i=\overline{2,n}$ with $|u|\le1$. This problem is related to the problem of optimal synthesis into the point, which solution was presented by V. I. Korobov and G. M. Sklyar and is based on the moment min-problem, but its difference with respect to the original problem is that the number of unknown functions is greater than the number of variables, which requires using the methods for the parametric optimization. As in th
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6

von den Hoff, Bieke, Roberto Merino-Martínez, Dick G. Simons, and Mirjam Snellen. "Using global optimization methods for three-dimensional localization and quantification of incoherent acoustic sources." JASA Express Letters 2, no. 5 (2022): 054802. http://dx.doi.org/10.1121/10.0010456.

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Complex acoustic systems typically present three-dimensional distributions of noise sources. Conventional acoustic imaging methods with planar microphone arrays are unsuitable for three-dimensional acoustic imaging, given the computational demands and the incapability to explicitly account for the presence of multiple sources. This paper proposes the use of global optimization methods to solve these shortcomings. An experiment with three incoherent speakers proved that this method can accurately determine the three-dimensional location and the respective sound level of each individual source.
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7

Kureychik, Vladimir, Vladislav Danilchenko, and Evgeniya Danilchenko. "Routing of Autonomous Devices in Three-Dimensional Space." Informatics and Automation 24, no. 2 (2025): 492–525. https://doi.org/10.15622/ia.24.2.5.

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The article addresses the problem of routing autonomous devices in three-dimensional space, which is a relevant task for intelligent control. The three-dimensional space is characterized by a high degree of freedom, complex topology, and dynamic environmental changes, which significantly complicate the task of effective trajectory planning. The development of routing methods that ensure safety, energy efficiency, and computational efficiency is crucial for improving the performance of autonomous systems. The paper presents a comprehensive routing system based on a hybrid approach that combines
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8

Zangeneh, M., A. Goto, and H. Harada. "On the role of three-dimensional inverse design methods in turbomachinery shape optimization." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 213, no. 1 (1999): 27–42. http://dx.doi.org/10.1243/0954406991522167.

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The application of a three-dimensional (3D) inverse design method in which the blade geometry is computed for a specified distribution of circulation to the design of turbomachinery blades is explored by using two examples. In the first instance the method is applied to the design of radial and mixed flow impellers to suppress secondary flows. Based on our understanding of the fluid dynamics of the flow in the impeller, simple guidelines are developed for input specification of the inverse method in order to systematically design impellers with suppressed secondary flows and a more uniform exi
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9

Chen, L. L., H. Lian, Z. Liu, H. B. Chen, E. Atroshchenko, and S. P. A. Bordas. "Structural shape optimization of three dimensional acoustic problems with isogeometric boundary element methods." Computer Methods in Applied Mechanics and Engineering 355 (October 2019): 926–51. http://dx.doi.org/10.1016/j.cma.2019.06.012.

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10

Xiaoyan, Song, Rao Yufei, Wei Shichao, Xia Xijie, and Li Haifeng. "Three-dimensional electric field decoupling based on PSO-GA fusion under inter-dimensional coupling interference." Journal of Computational Methods in Sciences and Engineering 25, no. 2 (2024): 1714–25. https://doi.org/10.1177/14727978241302985.

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In contrast to existing methods like solving sensitivity matrices or sensor structure optimization decoupling, this paper proposes a three-dimensional electric field separation technique centered on the PSO-GA fusion algorithm, to fully utilize the rapid integration property of the particle swarm optimization algorithm and the global search capability of the genetic algorithm to improve the decoupling accuracy and optimization efficiency. The interdimensional coupling interference problem arises during the course of three-dimensional electric field measurement in space. Furthermore, a correcti
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11

Kang, Yaw-Hong, Da-Chen Pang, and Yi-Ching Zeng. "Optimal Dimensional Synthesis of Ackermann Steering Mechanisms for Three-Axle, Six-Wheeled Vehicles." Applied Sciences 15, no. 2 (2025): 800. https://doi.org/10.3390/app15020800.

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This study employs four metaheuristic optimization methods to optimize the dimensional synthesis of Ackermann steering mechanisms for three-axle, six-wheeled vehicles with front-axle steering mode and reverse-phase steering mode. The employed optimization methods include Particle Swarm Optimization (PSO), Hybrid Particle Swarm Optimization (HPSO), Differential Evolution with golden ratio (DE-gr), and Linearly Ensemble of Parameters and Mutation Strategies in Differential Evolution (L-EPSDE). With a front-wheel steering angle range of 70 degrees, two hundred optimization experiments were conduc
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12

Li, Linfeng, and Xiao-Jing Jia. "Three-Dimensional Reconstruction of Cerebrovascular and Algorithm Realization." Journal of Healthcare Engineering 2021 (November 24, 2021): 1–7. http://dx.doi.org/10.1155/2021/7422884.

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Objective. In the three-dimensional reconstruction of CT cerebrovascular medical image registration, a new optimization algorithm based on the relative position information between the contours of various blood vessels in the image is proposed. Methods. Using the rule that the center of gravity of the vascular tissue structure on the series of slices has continuity, find the registration relationship between the contours of the vessels in the two adjacent slices. Because the shape of cerebrovascular contour is relatively symmetrical, its center of gravity is slightly away from its geometric ce
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13

Lou, Xiao Ping, Nai Guang Lv, Peng Sun, and Yi Min Lin. "Data Registration Method Based on Three Dimensional Target." Applied Mechanics and Materials 103 (September 2011): 87–91. http://dx.doi.org/10.4028/www.scientific.net/amm.103.87.

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Data registration method using special three dimensional target to track the structured light measurement system is discussed. Optical scanning device, tracking target and stereo vision system are integrated together to fulfill profile inspection of large-scale free-form surface objects without extra mark points. System architecture and processing steps are introduced and layout optimization methods of three dimensional target are illustrated. Experimental results are showed to evaluate the validity of the registration method and suggests are given to improve the accuracy of the system.
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14

Xiao, Yanyang, Zhonggui Chen, Zhengtao Lin, et al. "Merge-Swap Optimization Framework for Supervoxel Generation from Three-Dimensional Point Clouds." Remote Sensing 12, no. 3 (2020): 473. http://dx.doi.org/10.3390/rs12030473.

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Surpervoxels are becoming increasingly popular in many point cloud processing applications. However, few methods have been devised specifically for generating compact supervoxels from unstructured three-dimensional (3D) point clouds. In this study, we aimed to generate high quality over-segmentation of point clouds. We propose a merge-swap optimization framework that solves any supervoxel generation problem formulated in energy minimization. In particular, we tailored an energy function that explicitly encourages regular and compact supervoxels with adaptive size control considering local geom
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15

TAKAHASHI, Toko, Takahiro FUJIKAWA, and Koichi YONEMOTO. "Investigations of Shape Definition and Aerodynamics Analysis Methods for Three-Dimensional Aerodynamic Shape Optimization." Proceedings of Conference of Kyushu Branch 2019.72 (2019): C21. http://dx.doi.org/10.1299/jsmekyushu.2019.72.c21.

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16

Hu, Z., R. Yin, C. Sun, Q. Li, and Y. Chen. "A Comparison of Two Plan Optimization Methods in Three-Dimensional Brachytherapy for Cervical Cancer." International Journal of Radiation Oncology*Biology*Physics 117, no. 2 (2023): e653. http://dx.doi.org/10.1016/j.ijrobp.2023.06.2079.

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17

Tatar, Ahmet Burak. "Predicting Three-Dimensional (3D) Printing Product Quality with Machine Learning-Based Regression Methods." Firat University Journal of Experimental and Computational Engineering 4, no. 1 (2025): 206–25. https://doi.org/10.62520/fujece.1604379.

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This study examines how printing parameters affect the roughness, tensile strength, and elongation of 3D-printed parts used in various applications. Machine learning-based regression models were employed to optimize product quality. The open-source "3D Printer Material Requirement" dataset obtained from the Kaggle platform was utilized to predict product quality. This dataset includes input parameters such as layer height, wall thickness, infill density, infill pattern, nozzle temperature, bed temperature, print speed, printing material (PLA and ABS), and fan speed. These parameters were analy
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18

Wolosz, Krzysztof J., and Jacek Wernik. "Three-Dimensional Flow Optimization of a Nozzle with a Continuous Adjoint." International Journal of Nonlinear Sciences and Numerical Simulation 16, no. 3-4 (2015): 151–56. http://dx.doi.org/10.1515/ijnsns-2014-0011.

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AbstractThe article presents results of multi-criteria optimization of air nozzle topology. The optimization in the CFD has been recently developed since equations of flow in porous media were applied among others governing equations. Optimization is a seeking for extremum of an objective function with respect to the function constraints. With this definition in mind, the optimization by using a continuous adjoint for the current cases is a finding such channel topology which minimizes for example pressure or energy loss when the constraints of objective function are in the form of flow govern
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19

Schoen, Fabio. "Global optimization methods for high-dimensional problems." European Journal of Operational Research 119, no. 2 (1999): 345–52. http://dx.doi.org/10.1016/s0377-2217(99)00136-8.

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20

Wang, Tongke. "Alternating Direction Finite Volume Element Methods for Three-Dimensional Parabolic Equations." Numerical Mathematics: Theory, Methods and Applications 3, no. 4 (2010): 499–522. http://dx.doi.org/10.4208/nmtma.2010.m99027.

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21

Gigante, Giacomo, and Christian Vergara. "Optimized Schwarz methods for the coupling of cylindrical geometries along the axial direction." ESAIM: Mathematical Modelling and Numerical Analysis 52, no. 4 (2018): 1597–615. http://dx.doi.org/10.1051/m2an/2018039.

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In this work, we focus on the Optimized Schwarz Method for circular flat interfaces and geometric heterogeneous coupling arising when cylindrical geometries are coupled along the axial direction. In the first case, we provide a convergence analysis for the diffusion-reaction problem and jumping coefficients and we apply the general optimization procedure developed in Gigante and Vergara (Numer. Math. 131 (2015) 369–404). In the numerical simulations, we discuss how to choose the range of frequencies in the optimization and the influence of the Finite Element and projection errors on the conver
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22

Gigante, Giacomo, and Christian Vergara. "Optimized Schwarz methods for the coupling of cylindrical geometries along the axial direction." ESAIM: Mathematical Modelling and Numerical Analysis 52 (October 12, 2018): 1597–615. https://doi.org/10.1051/m2an/2018039.

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Анотація:
In this work, we focus on the Optimized Schwarz Method for circular flat interfaces and geometric heterogeneous coupling arising when cylindrical geometries are coupled along the axial direction. In the first case, we provide a convergence analysis for the diffusion-reaction problem and jumping coefficients and we apply the general optimization procedure developed in Gigante and Vergara (<em>Numer. Math.</em> <strong>131</strong> (2015) 369&ndash;404). In the numerical simulations, we discuss how to choose the range of frequencies in the optimization and the influence of the Finite Element and
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23

Lv, Jia Liang, Ying Long Wang, Huan Qing Cui, and Nuo Wei. "Weight Selection and PSO Based Three-Dimensional Localization for Wireless Sensor Networks." Applied Mechanics and Materials 427-429 (September 2013): 2540–44. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.2540.

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Localization is one of the key technologies of wireless sensor networks, and the problem of localization is always formulated as an optimization problem. Particle swarm optimization (PSO) is easy to implement and requires moderate computing resources, which is feasible for localization of sensor networks. To improve the efficiency and precision of PSO-based localization methods, this paper proposes a novel three-dimensional PSO method based on weight selection (WSPSO). Simulation results show that the proposed method outperforms standard PSO and existing localization algorithms.
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24

Xu, Liang, Shenglong Jin, Weiqi Ye, Yunlong Li, and Jianmin Gao. "A Review of Machine Learning Methods in Turbine Cooling Optimization." Energies 17, no. 13 (2024): 3177. http://dx.doi.org/10.3390/en17133177.

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In the current design work, turbine performance requirements are getting higher and higher, and turbine blade design needs multiple rounds of iterative optimization. Three-dimensional turbine optimization involves multiple parameters, and 3D simulation takes a long time. Machine learning methods can make full use of historically accumulated data to train high-precision data models, which can greatly reduce turbine blade performance evaluation time and improve optimization efficiency. Based on the data model, the advanced intelligent combinatorial optimization technology can effectively reduce
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25

Li, Kene, Liuying Li, Chunyi Tang, Wanning Lu, and Xiangsuo Fan. "Three-Dimensional Path Planning Based on Six-Direction Search Scheme." Sensors 24, no. 4 (2024): 1193. http://dx.doi.org/10.3390/s24041193.

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In order to solve the problem of how to perform path planning for AUVs with multiple obstacles in a 3D underwater environment, this paper proposes a six-direction search scheme based on neural networks. In known environments with stationary obstacles, the obstacle energy is constructed based on a neural network and the path energy is introduced to avoid a too-long path being generated. Based on the weighted total energy of obstacle energy and path energy, a six-direction search scheme is designed here for path planning. To improve the efficiency of the six-direction search algorithm, two optim
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26

Gulayeva, Nataliya, Volodymyr Shylo, and Mykola Glybovets. "Genetic Algorithms as Computational Methods for Finite-Dimensional Optimization." Cybernetics and Computer Technologies, no. 3 (September 30, 2021): 5–14. http://dx.doi.org/10.34229/2707-451x.21.3.1.

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Introduction. As early as 1744, the great Leonhard Euler noted that nothing at all took place in the universe in which some rule of maximum or minimum did not appear [12]. Great many today’s scientific and engineering problems faced by humankind are of optimization nature. There exist many different methods developed to solve optimization problems, the number of these methods is estimated to be in the hundreds and continues to grow. A number of approaches to classify optimization methods based on various criteria (e.g. the type of optimization strategy or the type of solution obtained) are pro
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27

Sikiru, Yinka, Jitendra Paliwal, and Chyngyz Erkinbaev. "Three-Dimensional Characterization of Potatoes Under Different Drying Methods: Quality Optimization for Hybrid Drying Approach." Foods 13, no. 22 (2024): 3633. http://dx.doi.org/10.3390/foods13223633.

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The quality evaluation of processed potatoes is vital in the food industry. In this study, the effect of three different drying methods on the post-processing quality of potatoes utilizing 4, 8, 12, and 16 h of freeze drying (FD), infrared drying (ID), and oven drying (OD) was investigated. The impact of the drying methods on the potato’s microstructure was analyzed and quantified using 3D X-ray micro-computed tomography images. A new Hybrid Quality Score Evaluator (HQSE) was introduced and used to assess the Quality Index (QI) and Specific Energy Consumption Index (SECI) across various drying
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28

Liu, Junbing, Xiaoqiang Fan, and Xiao Tang. "Development of Automated Processes for Three-Dimensional Numerical Simulation of Compressor Performance Characteristics." Applied Sciences 14, no. 2 (2024): 623. http://dx.doi.org/10.3390/app14020623.

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Compressor characteristic evaluation is a critical step in design and optimization. Corrected characteristic curves are typically derived via experimental testing or CFD computation which is typically executed through manual manipulation. For compressors necessitating extensive characteristic computation across multiple speeds and operational conditions, the involved process is inherently complex. This paper introduces an automation approach, employing dichotomy and optimization algorithms aligned with a 3D numerical solver, to streamline the derivation of compressor characteristic curves. Ini
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29

BROADIE, MARK, and WEIWEI SHEN. "HIGH-DIMENSIONAL PORTFOLIO OPTIMIZATION WITH TRANSACTION COSTS." International Journal of Theoretical and Applied Finance 19, no. 04 (2016): 1650025. http://dx.doi.org/10.1142/s0219024916500254.

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This paper studies Merton’s portfolio optimization problem with proportional transaction costs in a discrete-time finite horizon. Facing short-sale and borrowing constraints, investors have access to a risk-free asset and multiple risky assets whose returns follow a multivariate geometric Brownian motion. Lower and upper bounds for optimal solutions up to the problem with 20 risky assets and 40 investment periods are computed. Three lower bounds are proposed: the value function optimization (VF), the hyper-sphere and the hyper-cube policy parameterizations (HS and HC). VF attacks the conundrum
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30

Wang, Zhan Zhong, Jing Fu, Lan Fang Liu, and Rui Rui Liu. "Three Dimensional Offline Packing Optimization Problem Based on Genetic Simulated Annealing Algorithm." Applied Mechanics and Materials 744-746 (March 2015): 1919–23. http://dx.doi.org/10.4028/www.scientific.net/amm.744-746.1919.

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Анотація:
In this paper, we try to solve 3D offline packing optimization problem by combining two methods-genetic algorithm’ global performance and simulated annealing algorithm’ local performance. Given Heuristic rules in loading conditions, we use the optimal preservation strategy and the roulette wheel method to choose selection operator, integrating simulated annealing algorithm into genetic algorithm , and achieving code programming and algorithms by Matlab.This paper carries out an actual loading in a vehicle company in Changchun City, then makes a contrast between the final optimization results a
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31

Zhao, Qinghai, Xiaokai Chen, Zheng-Dong Ma, and Yi Lin. "Robust Topology Optimization Based on Stochastic Collocation Methods under Loading Uncertainties." Mathematical Problems in Engineering 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/580980.

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A robust topology optimization (RTO) approach with consideration of loading uncertainties is developed in this paper. The stochastic collocation method combined with full tensor product grid and Smolyak sparse grid transforms the robust formulation into a weighted multiple loading deterministic problem at the collocation points. The proposed approach is amenable to implementation in existing commercial topology optimization software package and thus feasible to practical engineering problems. Numerical examples of two- and three-dimensional topology optimization problems are provided to demons
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32

Mao, Yilin. "Using simulated annealing algorithm to optimize three-dimensional spatial structure in environmental art design." Journal of Computational Methods in Sciences and Engineering 25, no. 4 (2025): 3697–712. https://doi.org/10.1177/14727978251324146.

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Анотація:
Existing methods for optimizing three-dimensional spatial structures in environmental art design often rely on subjective experience and intuition, lacking scientific rigor and systematic quantitative analysis. This limitation frequently results in suboptimal solutions, particularly in multi-objective optimization scenarios where local optima are prevalent, thereby restricting innovation and practicality. To address these challenges, this paper proposes the use of the simulated annealing (SA) algorithm to optimize spatial structures. A multi-objective optimization model is constructed, integra
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33

Lu, Guozhi, Rui Wang, Qianshun Li, and Fei Hu. "Three-Dimensional Dynamic Visualization Simulation of Underground Mining Engineering considering Chaos Optimization of Symmetric Varieties." Mobile Information Systems 2022 (July 31, 2022): 1–7. http://dx.doi.org/10.1155/2022/2916971.

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Анотація:
Aiming at the complex situation of mine underground engineering, this paper is chaos optimization to design 3D visualization simulation system of mine underground engineering, especially to satisfy the basic functions of 3D dynamic system and chaos optimization algorithm. A symmetric manifold algorithm is adopted. Explanations, transformation methods, and projective transformation methods and optical processing and conventional vector calculation techniques are used for analyzing underground mining engineering cases; it can be seen as follows: chaos-optimized symmetric variety algorithms in re
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34

Pintér, J. "Globally convergent methods for n-dimensional multiextremal optimization." Optimization 17, no. 2 (1986): 187–202. http://dx.doi.org/10.1080/02331938608843118.

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35

Deng, Lixia, Huanyu Chen, Xiaoyiqun Zhang, and Haiying Liu. "Three-Dimensional Path Planning of UAV Based on Improved Particle Swarm Optimization." Mathematics 11, no. 9 (2023): 1987. http://dx.doi.org/10.3390/math11091987.

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Анотація:
The traditional particle swarm optimization algorithm is fast and efficient, but it is easy to fall into a local optimum. An improved PSO algorithm is proposed and applied in 3D path planning of UAV to solve the problem. Improvement methods are described as follows: combining PSO algorithm with genetic algorithm (GA), setting dynamic inertia weight, adding sigmoid function to improve the crossover and mutation probability of genetic algorithm, and changing the selection method. The simulation results show that the improved PSO algorithm solves better route results and is faster and more stable
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36

Lu, Changyu, Jianmin Yang, Bernt Johan Leira, Qihang Chen, and Shulin Wang. "Three-Dimensional Path Planning of Deep-Sea Mining Vehicle Based on Improved Particle Swarm Optimization." Journal of Marine Science and Engineering 11, no. 9 (2023): 1797. http://dx.doi.org/10.3390/jmse11091797.

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Анотація:
Three-dimensional path planning is instrumental in path decision making and obstacle avoidance for deep-sea mining vehicles (DSMV). However, conventional particle swarm algorithms have been prone to trapping in local optima and have slow convergence rates when applied to underwater robot path planning. In order to secure a safe and economical three-dimensional path for the DSMV from the mining area to the storage base in connection with innovative mining system, this paper proposes a multi-objective optimization algorithm based on improved particle swarm optimization (IPSO) path planning. Firs
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37

Li, Xuyang, Zhiqiang Wan, Xiaozhe Wang, and Chao Yang. "Aeroelastic Optimization Design of the Global Stiffness for a Joined Wing Aircraft." Applied Sciences 11, no. 24 (2021): 11800. http://dx.doi.org/10.3390/app112411800.

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Анотація:
Due to the complexity and particularity of the joined wing layout, traditional design methods for the global stiffness of a high-aspect wing are not applicable for a joined wing. Herein, a beam-frame model and a three-dimensional wing-box model are built to solve the global stiffness aeroelastic optimization design problem for a joined wing. The goal is to minimize the weight, and the constraints are the overall aeroelastic requirements. Based on a genetic algorithm, two methods for the beam-frame model and one method for the three-dimensional model are used for comparative analysis. The resul
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38

Ma, Y. Z. "Three-Dimensional Modeling of Mineral/Elemental Compositions for Shale Reservoirs." SPE Journal 25, no. 04 (2020): 2067–78. http://dx.doi.org/10.2118/201118-pa.

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Summary Mineral compositional analysis of rocks is important for developing shale resources because the relationships between mineral compositions and petrophysical properties are critical for resource evaluation and completion optimization. Elementary properties are now routinely analyzed at wells in evaluating shale reservoirs. However, these properties have not been modeled in the three-dimensional (3D) reservoir. This is because an elemental composition has a physical constraint that is relatively easily adhered to in data analysis for wells but not in 3D modeling of reservoirs. A critical
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39

Wang, Xueying, Jie Zheng, Jianmin Wang, Yibing Yu, Xi Wang, and Feifei Zhang. "Efficient Design of Three-Dimensional Well Trajectories with Formation Constraints and Optimization." Processes 13, no. 4 (2025): 1215. https://doi.org/10.3390/pr13041215.

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Current methods for designing three-dimensional trajectories rarely account for complex formation constraints, focusing primarily on geometric relationships. However, trajectory adjustments are often necessary during drilling operations. These field adjustments typically lack systematic optimization, resulting in suboptimal trajectories. This study introduces a novel trajectory optimization framework that integrates formation fitness for curve construction and proactive anti-collision trajectory adjustment (PACTA). The framework begins by incorporating PACTA and optimizing the initial trajecto
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40

Outinen, K., H. Vuorela, and R. Hiltunen. "Optimization of HPLC separation by computer-assisted optimization methods. Comparison of three methods." European Journal of Pharmaceutical Sciences 4, no. 4 (1996): 199–210. http://dx.doi.org/10.1016/0928-0987(95)00040-2.

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41

Krasniuk, A. V., O. F. Tatarinov, and T. V. Ulchenko. "OPTIMIZATION OF THREE-DIMENSIONAL MODELING IN ENGINEERING AND BUILDING DESIGN IN THE EDUCATIONAL PROCESS." Science and Transport Progress, no. 29 (October 25, 2009): 159–63. http://dx.doi.org/10.15802/stp2009/14088.

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AutoCAD possibilities of 3D solid modeling are described in the article. The optimum methods of designing for construction and machine drawing applying are analyzed. The choice of methods for 3D solids drawing is proved by samples.
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42

Bykovsky, N. V., R. V. Harutyunyan, and A. V. Nasedkin. "A combinatorial approach to optimizing the placement of irregularly shaped elements on two-dimensional and three-dimensional switching fields with complex topology." T-Comm 18, no. 10 (2024): 44–54. https://doi.org/10.36724/2072-8735-2024-18-10-44-54.

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This paper presents a novel optimization method for placing non-standard configuration elements on two-dimensional and three-dimensional interconnection fields with complex topologies. A combinatorial analog of the Gauss-Seidel method has been developed, adapted for efficient handling of components with irregular shapes and varying dimensions. The algorithm accounts for specific characteristics of the interconnection field, including the presence of forbidden zones and structural het erogeneity. To increase the probability of finding the global optimum, a multi-start procedure has been applied
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43

Wołosz, Krzysztof J., and Jacek Wernik. "ICEEM07: Three-Dimensional Flow Optimization of a Pneumatic Pulsator Nozzle with a Continuous Adjoint." International Journal of Nonlinear Sciences and Numerical Simulation 16, no. 1 (2015): 3–9. http://dx.doi.org/10.1515/ijnsns-2014-0043.

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AbstractThe article presents results of multi-criteria optimization of air nozzle topology. The optimization in the Computational Fluid Dynamics (CFD) has been recently developed since equations of flow in porous media were applied among others governing equations. Optimization is a seeking for extremum of an objective function with respect to the function constraints. With this definition in mind, the optimization by using a continuous adjoint for the current cases is a finding such channel topology which minimizes for example pressure or energy loss when the constraints of objective function
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44

Korolyov, Vyacheslav, Maksim Ogurtsov, and Oleksandr Khodzinskyi. "Research on Algorithms for Local Robot Positioning Using Methods of Discrete Optimization." Cybernetics and Computer Technologies, no. 2 (June 6, 2025): 5–16. https://doi.org/10.34229/2707-451x.25.2.1.

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Introduction. The use of robots is becoming increasingly prevalent each year. Simultaneously, there is a gradual shift from using individual robots to deploying collective robots, as this approach proves to be more efficient for various tasks such as agricultural surveys and irrigation. However, there are specific challenges, particularly the lack of access to global satellite navigation systems for collective robots, which can be jammed for security reasons. The purpose of the article study is to develop an algorithm for the local positioning system of a small collective of robots to maintain
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45

Du, Juan, and Yuelin Long. "Landscape Image Layout Optimization Extraction Simulation of 3D Pastoral Complex under Big Data Analysis." Complexity 2020 (November 28, 2020): 1–11. http://dx.doi.org/10.1155/2020/6620216.

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Big data has brought about opportunities for landscape architecture, changing the design thinking of layout optimization simulation, expanding the platform for public participation in layout optimization simulation design, reflecting social and humanistic care, and promoting the integration of discipline cooperation and data. At the same time, it also brings about challenges. The proposal of data theory, the acquisition and analysis of data, and the protection of privacy are all issues that we need to face and solve. First, build a layout optimization simulation program under the background of
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46

Lahanas, M., D. Baltas, S. Giannouli, N. Milickovic, and N. Zamboglou. "Generation of uniformly distributed dose points for anatomy-based three-dimensional dose optimization methods in brachytherapy." Medical Physics 27, no. 5 (2000): 1034–46. http://dx.doi.org/10.1118/1.598970.

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47

Ng, Seng-Beng, Kok-Why Ng, Rahmita Wirza O. K. Rahmat, and Yih-Jian Yoong. "Blending of three-dimensional geometric model shapes." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 1 (2022): 102. http://dx.doi.org/10.11591/ijeecs.v27.i1.pp102-109.

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Three-dimensional (3D) geometric model shapes blending method can create various in-between models from two inputs of models shapes. Though, many blended shapes are implausible due to different inputs of model type, inappropriate matching-parts, improper parts-segmentation, and non-tally number of segmentation parts. are crucial and should be taken into account. The objective of this paper is to study the strengths and weaknesses of some prominent shapes blending methods and the 3D reconstruction methods. An interpolated shape blending program using the Laplacian-based contraction and Slinky-b
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48

Yao, Guobiao, Ziheng Wang, Guozhong Wei, et al. "Multi-View Three-Dimensional Reconstruction Based on Feature Enhancement and Weight Optimization Network." ISPRS International Journal of Geo-Information 14, no. 2 (2025): 43. https://doi.org/10.3390/ijgi14020043.

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Aiming to address the issue that existing multi-view stereo reconstruction methods have insufficient adaptability to the repetitive and weak textures in multi-view images, this paper proposes a three-dimensional (3D) reconstruction algorithm based on Feature Enhancement and Weight Optimization MVSNet (Abbreviated as FEWO-MVSNet). To obtain accurate and detailed global and local features, we first develop an adaptive feature enhancement approach to obtain multi-scale information from the images. Second, we introduce an attention mechanism and a spatial feature capture module to enable high-sens
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49

Li, Xingxing, Dangwei Wang, and Xiaoyan Ma. "Three-Dimensional Target Localization and Cramér-Rao Bound for Two-Dimensional OFDM-MIMO Radar." International Journal of Antennas and Propagation 2017 (2017): 1–14. http://dx.doi.org/10.1155/2017/4171452.

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Target localization using a frequency diversity multiple-input multiple-output (MIMO) system is one of the hottest research directions in the radar society. In this paper, three-dimensional (3D) target localization is considered for two-dimensional MIMO radar with orthogonal frequency division multiplexing linear frequency modulated (OFDM-LFM) waveforms. To realize joint estimation for range and angle in azimuth and elevation, the range-angle-dependent beam pattern with high range resolution is produced by the OFDM-LFM waveform. Then, the 3D target localization proposal is presented and the co
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50

Zhang, Li, Bo Wang, Minghao Hu, Xian Shi, Liu Yang, and Fujian Zhou. "Research Progress on Optimization Methods of Platform Well Fracturing in Unconventional Reservoirs." Processes 13, no. 6 (2025): 1887. https://doi.org/10.3390/pr13061887.

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Unconventional reservoirs are characterized by low porosity, low permeability, and limited hydrocarbon abundance, making them economically unviable for production under natural conditions. Large-scale hydraulic fracturing has emerged as a critical technology for enabling the effective development of these resources. The three-dimensional development of platform wells employs batch drilling and batch fracturing techniques. By implementing simultaneous fracturing or zipper fracturing approaches, the process achieves well placement, fracturing, and fracture placement in a single step, thereby red
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