Ngā hua rapu - optimization algorithm

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  1. 241

    Hestenes–Stiefel-Type Conjugate Direction Algorithm for Interval-Valued Multiobjective Optimization Problems Rupesh Krishna Pandey, Balendu Bhooshan Upadhyay, Subham Poddar, Ioan Stancu-Minasian

    I whakaputaina 2025-06-01

    This article investigates a class of interval-valued multiobjective optimization problems (IVMOPs). We define the Hestenes–Stiefel (HS)-type direction for the objective function of IVMOPs and establish that it has a descent property at noncritical points. An Armijo-like line search is employed to de...

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    “…We present an HS-type conjugate direction algorithm for IVMOPs and establish the convergence of the sequence generated by the algorithm. …”
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  2. 242

    A Path Planning Method for AGV Based on Improved PSO-PIO Algorithm QIN Chang-li, ZHANG Hua-qiang, LIU Lin, CHEN Yu, SU Qing-hua

    I whakaputaina 2022-06-01

    In order to solve the problem of particle swarm optimization algorithm easily falling into local optimum in global path planning, according to the related theories of particle swarm optimization algorithm and pigeon-inspired optimization algorithm, the influencing factors that lead to particle swarm...

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    “…In order to solve the problem of particle swarm optimization algorithm easily falling into local optimum in global path planning, according to the related theories of particle swarm optimization algorithm and pigeon-inspired optimization algorithm, the influencing factors that lead to particle swarm optimization algorithm falling into local optimum are analyzed, and the size of raster in two-dimensional raster map is determined according to the minimum turning radius of automatic guided vehicle.The particle swarm optimization is improved and combined with the fast convergence ability of pigeon-inspired optimization algorithm, and a two-stage hybrid optimization algorithm based on improved particle swarm optimization and pigeon-inspired optimization algorithm is proposed for global path planning. …”
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  3. 243

    An Improved Multi-Objective Adaptive Human Learning Optimization Algorithm and Its Application in Optimizing Formulation Schemes for Rotary Hearth Furnaces Jun Yao, Songcheng Zhou, Ling Wang, Xianxia Zhang

    I whakaputaina 2025-06-01

    This study develops a complex, multivariable optimization framework for raw material formulation in rotary hearth furnaces (RHF), addressing the inherent coupling effects among compositional control, operational stability, and resource efficiency. Based on an in-depth analysis of the multiple constr...

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    “…An improved multi-objective adaptive human learning optimization algorithm (IMOAHLO) is proposed, which enhances local optimization through neighborhood search and an adaptive learning mechanism. …”
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  4. 244

    Optimizing Trajectories for Rechargeable Agricultural Robots in Greenhouse Climatic Sensing Using Deep Reinforcement Learning with Proximal Policy Optimization Algorithm Ashraf Sharifi, Sara Migliorini, Davide Quaglia

    I whakaputaina 2025-06-01

    The experimentation of agricultural robots has been increasing in recent years, both in greenhouses and open fields. While agricultural robots are inherently useful for automating various farming tasks, their presence can also be leveraged to collect measurements along their paths. This approach ena...

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    “…In this paper, we propose a method based on Deep Reinforcement Learning enriched with a Proximal Policy Optimization (PPO) algorithm for determining the best trajectory an agricultural robot must follow to balance the number of measurements and autonomy adequately. …”
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  5. 245

    Design of steel and concrete composite beams according to NBR8800:2008 using pygad genetic algorithm and python implementation Paula Cristina de Lima Bastos, Francisco de Assis das Neves, Walliston dos Santos Fernandes

    I whakaputaina 2025-07-01

    Abstract In this article presents a programming routine that was developed based on the Python language for the design of non-slender web steel beams having mono symmetrical and doubly symmetrical sections, with welded and rolled profiles, and composite steel and concrete beams, in accordance with N...

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  6. 246

    The proximal point algorithm with a general perturbation on geodesic spaces Takuto Kajimura, Yasunori Kimura

    I whakaputaina 2025-08-01

    In this paper, we show some properties of a proximal mapping with a general perturbation for convex functions. We further investigate the existence and approximation of minimizers of a given convex function by using the proximal point algorithm with a general perturbation in complete geodesic spaces...

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  7. 247

    Algorithm of Estimating Import-Substitution Based on Costs – Output Tables N. A. Moiseev, B. A. Akhmadeev

    I whakaputaina 2021-05-01

    The article studies problems and prospects of managerial decisions dealing with the process of import-substitution of certain products and puts forward the method of raising its efficiency. This research is based on costs – output tables, as a result of which a special algorithm is designed to estim...

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  8. 248

    Dynamic Optimization of Xylitol Production Using Legendre-Based Control Parameterization Eugenia Gutiérrez, Marianela Noriega, Cecilia Fernández, Nadia Pantano, Leandro Rodriguez, Gustavo Scaglia

    I whakaputaina 2025-05-01

    This paper presents an improved methodology for optimizing the fed-batch fermentation process of xylitol production, aiming to maximize the final concentration in a bioreactor co-fed with xylose and glucose. Xylitol is a valuable sugar alcohol widely used in the food and pharmaceutical industries, a...

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  9. 249

    Study on Multi-Objective Optimization of Construction of Yellow River Grand Bridge Jing Hu, Jinke Ji, Mengyuan Wang, Qingfu Li

    I whakaputaina 2025-07-01

    As an important transportation hub connecting the two sides of the Yellow River, the Yellow River Grand Bridge is of great significance for strengthening regional exchanges and promoting the high-quality development of the Yellow River Basin. However, due to the complex terrain, changeable climate,...

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  10. 250

    A Versatile Algorithm for Autofocusing SAR Images A. A. Monakov

    I whakaputaina 2021-02-01

    Introduction. Random deviations of the antenna phase centre of a synthetic aperture radar (SAR) are a source of phase errors for the received signal. These phase errors frequently cause blurring of the radar image. The image quality can be improved using various autofocus algorithms. Such algorithms...

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  14. 254

    Fruit-Fly-Optimized Weighted Averaging Algorithm for Data Fusion in MEMS IMU Array Ting Zhu, Gao Peng, Jianping Li, Jiawei Xuan, Jingbei Tian

    I whakaputaina 2025-06-01

    The weighted averaging algorithm is a widely adopted high-efficiency data fusion approach for micro-electro-mechanical system (MEMS) inertial measurement unit (IMU) array, where the configuration of weighting coefficients plays a critical role in improving measurement accuracy. In this study, an opt...

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  15. 255

    Coupling of green building construction based on particle Swarm optimizing neural network algorithm Wang Leigang, Li Shaohua, Wang Liang, Zhang Zheng, Zhou Yuchen, Chang Long

    I whakaputaina 2025-01-01

    In the continuous development of the green building industry, construction safety management faces increasing challenges, particularly in safety and environmental protection, which requires precise evaluation and control. Therefore, this study proposes a coupling analysis method for green building c...

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  16. 256

    Optimization of hybrid-forecasting algorithm parameters using a model ensemble in real time Elena A. Kochegurova, Sofia M. Saybert, Ksenia V. Tatyankina

    I whakaputaina 2024-12-01

    To develop ensemble or multi-modeling technologies for optimization of forecasting model parameters. The proposed forecasting model in the form of a recurrent penalty spline (P-spline) has several adjustable parameters, which ensures the adaptability of the model for predicting the behavior of a tim...

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    “…This made it possible to increase the efficiency of the recurrent P-spline as a real-time forecasting model, reduce computational costs and increase the performance of forecasting algorithms.…”
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  17. 257

    High-Precision Modal Decomposition of Laser Beams Based on Globally Optimized SPGD Algorithm Kyuhong Choi, Changsu Jun

    I whakaputaina 2019-01-01

    We propose a globally optimized stochastic parallel gradient descent (SPGD) algorithm to analyze the modal content of laser beams with high precision. Modal decomposition (MD) based on conventional SPGD algorithms often falls to a local minimum when a laser beam consists of six or more fiber eigenmo...

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    “…We propose a globally optimized stochastic parallel gradient descent (SPGD) algorithm to analyze the modal content of laser beams with high precision. …”
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  18. 258

    NEURONET ALGORITHMS FOR CHOICE OF INITIAL APPROXIMATION OF GATING SYSTEM OF CASTINGS WITH THE PURPOSE OF THEIR FIIRTHER OPTIMIZATION A. N. Chichko, Ju. V. Yatskevich, V. F. Sobolev, T. V. Matjushinets, O. I. Chichko

    I whakaputaina 2009-11-01

    The neuronet algorithms, allowing to estimate the degree of similarity of two castings by space distribution of material, are offered. The possibility of application of the developed algorithms for solving of problem of primary choice of the casting gating system on the stage of projecting is shown.

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  19. 259

    Boosting Malware Detection with AlexNet and Optimized Neural Networks Using the Grasshopper Algorithm Mohammed Aswad

    I whakaputaina 2025-06-01

    That risk is compounded as more critical infrastructure and systems are being managed by computers in general, connected over the Internet. To combat such nefarious software that can steal data and do a number of other privatively outcomes, you need to be very vigilant and also train all our artific...

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  20. 260

    Optimization of Electric Transformer Operation Through Load Estimation Based on the K-Means Algorithm Pedro Torres-Bermeo, José Varela-Aldás, Kevin López-Eugenio, Nancy Velasco, Guillermo Palacios-Navarro

    I whakaputaina 2025-07-01

    This study presents an innovative methodology to optimize the operation of distribution transformers through the estimation of hourly load curves, aimed at minimizing technical losses due to oversizing, particularly in systems lacking advanced metering infrastructure. The proposed approach combines...

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