A Simple Exact Penalty Function Method for Optimal Control Problem with Continuous Inequality Constraints by Xiangyu Gao, Xian Zhang, Yantao Wang

“…It is shown that, if the penalty parameter is sufficiently large, the locally optimal solutions of these approximate unconstrained optimal control problems converge to the solution of the original optimal control problem. …”
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Optimizing Maxillary Aesthetics of a Severe Compromised Tooth through Orthodontic Movement and Dental Implants by Rafael Scaf de Molon, Erica Dorigatti de Avila, Joni Augusto Cirelli, Mauricio de Almeida Cardoso, Leopoldino Capelozza-Filho, Luiz Antonio Borelli Barros

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Monarch butterfly optimization based energy management system for electric vehicle with interleaved landsman converter by C. Milton, T. S. Sivarani

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Parameter influence analysis and optimization of wheel–rail creepage characteristics in high-speed railway curves by Bolun An, Jiapeng Liu, Guang Yang, Feng shou Liu, Tong Shi, Ming Zhai

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Optimization of Online Teaching Quality Evaluation Model Based on Hierarchical PSO-BP Neural Network by Luxin Jiang, Xiaohui Wang

“…In the evaluation of teaching quality, aiming at the shortcomings of slow convergence of BP neural network and easy to fall into local optimum, an online teaching quality evaluation model based on analytic hierarchy process (AHP) and particle swarm optimization BP neural network (PSO-BP) is proposed. …”
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Optimizing ibrutinib bioavailability: Formulation and assessment of hydroxypropyl-β-cyclodextrin-based nanosponge delivery systems by Sunitha Sampathi, Nitiraj Kulkarni, D.V.R.N. Bhikshapathi, Jagadish V. Tawade, Nainaru Tarakaramu, Rzgar Farooq Rashid, Aziz Kubaev

“…Methods: IBR-loaded HPβCD-NSPs were formulated by optimizing the molar proportion of HPβCD to CDI, as well as stirring rate and duration using a design-based methodology. …”
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Satellite Image Classification Using a Hybrid Manta Ray Foraging Optimization Neural Network by Amit Kumar Rai, Nirupama Mandal, Krishna Kant Singh, Ivan Izonin

Subjects: “…manta ray foraging optimization algorithm (mrfo)…”
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A new statistical model with optimal fitting performance: Its assessments in management sciences and reliability by Zhidong Liang

“…Our findings, based on particular evaluation tests, indicate that the SW-Weibull distribution provides optimal performance when analyzing the aforementioned data sets.…”
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Multi‐objective multi‐period optimal site and size of distributed generation along with network reconfiguration by Ghulam Abbas, Zhi Wu, Aamir Ali

“…Abstract While extensive research has focused on enhancing distribution networks through either maximizing Distributed Generation (DG) integration or network reconfiguration at specific times, there is a need for further investigation into concurrently optimal network reconfiguration and DG allocation. …”
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Real-Time Optimization of RISC-V Processors Based on Branch Prediction and Division Data Dependency by Zhiwei Jin, Hesong Di, Tingpeng Hu, Peng Wang

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Projected Adaptive Cubic Regularization Algorithm with Derivative-Free Filter Technique for Box Constrained Optimization by Lingyun He, Peng Wang, Detong Zhu

“…An adaptive projected affine scaling algorithm of cubic regularization method using a filter technique for solving box constrained optimization without derivatives is put forward in the passage. …”
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A Bilevel Programming Model to Optimize Train Operation Based on Satisfaction for an Intercity Rail Line by Zhipeng Huang, Huimin Niu

“…This paper considers an optimization problem for train operations which respond to passenger travel demands of different periods in intercity rail lines. …”
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Applying deep learning model to aerial image for landslide anomaly detection through optimizing process by Chwen-Huan Wang, Li Fang, Chiung-Yun Hu

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Performance optimization of active RIS-assisted near-shore dual-function radar communicaiton system by XU Miao, YUE Dianwu, SUN Yu, WU Xiangkai, YUAN Meng

“…Under the constraint of radar detection power, the user’s weighting and rate were maximized by optimizing the beamforming of the base station and the reflection matrix vector of the ARIS. …”
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A deep learning method for differentiating safflower germplasm using optimal leaf structure features by Hoang Thien Van, Phuong Thuy Khuat, Trang Van, Thai Thanh Tuan, Yong Suk Chung

“…We evaluate state-of-the-art deep learning methods for classifying safflower varieties and propose a novel approach using a Vision Transformer (ViT) model with an optimal leaf structure feature (OLSF). The OLSF, calculated as the average response of a multidirectional Gabor filter bank and optimized with the structural similarity index measure (SSIM), enhances complex leaf features, such as veins, texture, and frequency variations, to enhance the classification performance of deep learning models. …”
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Determine the Inflow Performance Relationship of Water Producing Gas Well Using Multiobjective Optimization Method by Xiao-Hua Tan, Jian-Yi Liu, Jia-Hui Zhao, Xiao-Ping Li, Guang-Dong Zhang, Chuan Tang, Li Li

“…Based on the basic theory of fluid mechanics in porous medium, using the principle of mass conservation, and considering the process of dissolution and volatilization of gas and water formation, this paper establishes a new mathematical model of gas-water two-phase flow. Multiobjective optimization method is used to automatically match the sample well production data in water drive gas reservoirs and then we can achieve the sample well’s productivity equation, relative permeability curve, water influx intensity, and single well controlled reserves. …”
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Analysis and optimization of threaded shear energy absorbing components of collision resistance hydraulic support columns by Zuen Shang, Jiyang Meng, Qian Liu, Peng Yang, Xisheng Yu

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Research on Energy-Efficient Building Design Using Target Function Optimization and Genetic Neural Networks by Youxiang Huan

“…METHODS: A multi-objective optimization method, using the non-sorting genetic algorithm (NSGA-II), assesses energy efficiency by determining optimal wall types, insulation thickness, and insulation type. …”
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Intelligent Tuning of PID Using Metaheuristic Optimization for Temperature and Relative Humidity Control of Comfortable Rooms by K. Janprom, W. Permpoonsinsup, S. Wangnipparnto

“…The aim of this study is to control and maintain the temperature and RH of the comfortable room using a proportional integral derivative (PID) controller tuned by metaheuristic optimization. In tuning gains of the PID controller, the modern metaheuristic optimizations, ant colony optimization (ACO), and symbiotic organism search (SOS) are applied and the performance of the proposed control system is compared to that of the traditional methods. …”
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Numerical Simulation of Hot Stamping Forming of AZ Series Magnesium Alloys and Optimization of Die Process by Fang Qian

“…In order to deal with the bottleneck of poor plasticity and low formability of magnesium alloys at room temperature, a numerical simulation and a die process optimization method based on hot stamping of AZ series magnesium alloys were proposed. …”
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