Evaluation of Transportation Network Reliability under Emergency Based on Reserve Capacity by Xiongfei Zhang, Qi Zhong, Qin Luo

“…Then a dynamic penalty function algorithm is used to solve the problem. In the end, numerical studies and results are provided to demonstrate the rationality of the proposed model and feasibility of the proposed solution algorithms.…”
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Design Optimization of Parameters for Resolver Software Decoding Based on Surrogate Model Management by DENG Yu, LING Yuelun, WU Zuolai, PENG Zaiwu, WANG Jun

“…Finally, a genetic algorithm (GA) was utilized to optimize parameters in the resolver software decoding system through a solving process, and a partial encryption method was introduced to iteratively update the surrogate model, yielding a partially optimal solution that meets the error requirements. …”
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Distributed robust planning for new power system considering uncertainty and frequency security by Xinxin Zheng, Dahai Zhang, Zhaohong Bie, Xue Wu

“…Firstly, establish a system frequency model that provides frequency support for a fast frequency response energy storage system, and propose an improved segmented linearization algorithm to transform the constructed frequency safety constraints. …”
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Game Cross Efficiency for Systems with Two-Stage Structures by Chaoqun Ma, Debin Liu, Zhongbao Zhou, Wei Zhao, Wenbin Liu

“…An iterative algorithm is then proposed to obtain the game cross efficiencies for the overall systems and subsystems. …”
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NEURAL NETWORKS OF THE FINAL RING BASED ON THE REDUCTION SCHEME OF THE POSITION-MODULAR-CODE TRANSFORMATION by N. I. Chervyakov, A. A. Kolyada, N. A. Kolyada, V. A. Kuchukov, S. U. Protasenia

“…On the basis of a modified reduction method there was synthesized a fast algorithm and a parallel structure of the NNFR with feedback, which ensures the implementation of the reduction scheme in a time order (S(⌈log2b⌉+1) +2)tsum, were S – the number of iterations, b – the bit width of the input number, – the duration of the addition operation of two deductions.…”
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A segmentation method for lung nodule image sequences based on superpixels and density-based spatial clustering of applications with noise. by Wei Zhang, Xiaolong Zhang, Juanjuan Zhao, Yan Qiang, Qi Tian, Xiaoxian Tang

“…However, previous research investigating nodule segmentation algorithms cannot entirely segment cavitary nodules, and the segmentation of juxta-vascular nodules is inaccurate and inefficient. …”
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Distributed Impulsive Multi-Spacecraft Approach Trajectory Optimization Based on Cooperative Game Negotiation by Shuhui Fan, Xiang Zhang, Wenhe Liao

“…By leveraging inter-satellite iterative negotiation, the method converges to a Nash equilibrium. …”
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Thermal-Hydraulic Network Model for steady-state thermal analysis and design of power transformer magnetic cores by L.H. Medeiros, M.M. Oliveira, C.E.G. Falcão, V.C. Bender, T.B. Marchesan

“…Traditional thermal models predominantly focus on the oil flow and windings, overlooking the core’s contribution to heat generation and dissipation. Based on the constructive and operational data, the model determines the complete oil flow and temperature distributions over the columns, yokes, and joints by iteratively solving an algorithm composed of hydraulic and thermal resistance networks. …”
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Product Image Generation Method Based on Morphological Optimization and Image Style Transfer by Aimin Zhou, Xinle Wang, Yujin Huang, Weitang Wang, Shutao Zhang, Jinyan Ouyang

“…Firstly, based on computational esthetics and principles of visual perception, an esthetic comprehensive evaluation model is constructed and used as the fitness function. The genetic algorithm is employed to build a product morphological optimization design system, obtaining product form schemes with higher esthetic quality. …”
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Multiple‐input multiple‐output with frequency diverse array radar transmit beamforming design for low‐probability‐of‐intercept in cluttered environments by Panke Jiang, Pengcheng Gong, Yuntao Wu, Xiong Deng

“…To this end, a constrained multiple‐ratio fractional programming model with concerning the transmit beam matrix and the receive filter is first constructed, and then, it is transformed into two suboptimisation problems using a circular iterative approach. …”
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Application of Fault Diagnosis of Seawater Hydraulic Pump Based on Transfer Learning by Yang Miao, Yuncheng Jiang, Jinfeng Huang, Xiaojun Zhang, Lei Han

“…The training data is trained based on the iterative adjustment of the weight through the TrAdaBoost transfer learning algorithm. …”
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The analysis of entrepreneurship evaluation system for talent cultivation in artistic creativity and animation under artificial intelligence by Hao Xie, Zijian Zhao

“…Addressing the strong subjectivity and lack of quantitative indicators in traditional artistic creativity evaluation methods, this work constructs an artistic creativity innovation evaluation model based on the Backpropagation Neural Network (BPNN) integrated with the Style-Based Generative Adversarial Network (StyleGAN) algorithm. …”
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A Fast Proximal Alternating Method for Robust Matrix Factorization of Matrix Recovery with Outliers by Ting Tao, Lianghai Xiao, Jiayuan Zhong

“…The global convergence of its iterate sequence is also established. Numerical experiments on matrix completion with outliers and image restoration tasks demonstrate that the proposed algorithm achieves low relative errors in shorter computational time, especially for large-scale datasets.…”
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eVTOL Dispatch Cost Optimization Under Time-Varying Low-Altitude Delivery Demand by Tao Li, Yingjun Du, Zemin Zhang, Yushun Wang

“…We first investigate the performance and routing of Meituan’s eVTOL system, focusing on the dynamic optimization of eVTOL reserves and total costs at distribution stations under fluctuating order surges and charging constraints. An iterative algorithm is constructed, supported by numerical examples and Monte Carlo simulations. …”
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Integrated Scheduling of Multi-Objective Job Shops and Material Handling Robots with Reinforcement Learning Guided Meta-Heuristics by Zhangying Xu, Qi Jia, Kaizhou Gao, Yaping Fu, Li Yin, Qiangqiang Sun

“…Then, reinforcement learning algorithms, i.e., Q-learning and state–action–reward–state–action (SARSA), are utilised to select suitable local search operators during iterations. …”
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Machine learning based multi-parameter droplet optimisation model study by Ting Li, Likun Lu, Qingtao Zeng, Kexin Liao

“…In order to achieve the accurate generation of ideal droplets in continuous inkjet devices, this paper proposes a new parameter optimisation method, BO-GP, which combines the Bayesian optimisation algorithm with computer vision, and after 50 rounds of iterations, it can converge to the optimal values of the control parameters, and successfully constructs the Pareto frontier of the control parameters. …”
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Variational method of numerical solution of the inverse problem of gas lift oil production process by N.M. Temirbekov, A.K. Turarov

“…This paper proposes a constructive method for numerically solving direct and inverse problems arising in the gas-lift oil production process, which is described by a hyperbolic system of differential equations. …”
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Planning and Evaluation of Water-Dropping Strategy for Fixed-Wing Fire Extinguisher Based on Multi-Resolution Modeling by Xiyu Wang, Yuanbo Xue, Yongliang Tian, Hu Liu, Zhiyong Cai

“…The above research comprehensively constructs the model, finishes the iterative optimization, and evaluates the water-dropping strategy by simulation. …”
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Human motion capture data recovery based on non-convex low-rank priors of temporal difference(非凸时序差分低秩约束的人体运动捕获数据恢复算法) by 胡文玉(HU Wenyu), 彭绍婷(PENG Shaoting), 郭震宇(GUO Zhenyu), 黄慧英(HUANG Huiying)

“…Comparison is made between the proposed algorithm NTDLR and three classical algorithms, i.e., TrNN, CaNN and IRNNL Lp, on CMU dataset and HDM05 dataset. …”
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Fault Diagnosis and Tolerant Control of Current Sensors Zero-Offset Fault in Multiphase Brushless DC Motors Utilizing Current Signals by Wei Chen, Zhiqi Liu, Zhiqiang Wang, Chen Li

“…Furthermore, based on the diagnostic information, a repeated iterative online correction method is adopted to restore the accuracy of the current measurement. …”
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