Research on Collaborative Optimization Strategy of Railway Signal Nonlinear Control System Based on BBO Algorithm and Multi-objective Optimization by Xue Li, Yixuan Yang, Zheng Li, Hui He

“…This study focuses on exploring collaborative optimization strategies for a nonlinear control system of railway signals based on the BBO algorithm. Currently, the railway signal control system faces performance bottlenecks such as response lag and local optima due to parameter coupling when dealing with multi-objective optimization problems like train operating speed and signal delays. …”
Get full text

Dual-layer scheduling coordination algorithm for power supply guarantee using multi-objective optimization in spot market environment by Xuanyuan Wang, Xu Gao, Zhen Ji, Wei Sun, Bo Yan, Bohao Sun

“…The algorithm is iterated 100 times, each simulating a 24-hour scheduling cycle. …”
Get full text

A Hybrid Approach Incorporating WSO-HO and the Newton-Raphson Method to Enhancing Photovoltaic Solar Model Parameters Optimisation by Jeridi Ahmed, Moulahi Mohamed Hedi, Khaterchi Hechmi, Zaafouri Abderrahmen

“…While metaheuristic algorithms (MHAs) offer promising solutions, they often face challenges such as slow convergence and difficulty balancing exploration and exploitation. …”
Get full text

A Novel Phase Error Estimation Method for TomoSAR Imaging Based on Adaptive Momentum Optimizer and Joint Criterion by Muhan Wang, Silin Gao, Xiaolan Qiu, Zhe Zhang

“…In addition, our approach introduces a joint iterative solution framework, which incorporates a modified accelerated iterative shrinkage-threshold sparse recovery algorithm and an adaptive momentum optimizer for interchannel phase error estimation in a gradient descent manner. …”
Get full text

A study of government regulation’s strategy for solving the algorithmic black-box puzzle of digital platforms: a complex network-based perspective by Gehui Zhu, Mingliang Tang, Xiao Jian, Tong Mu

“…With the iteration of information technology and the enhancement of the arithmetic power of huge amounts of data, the economic model of digital platforms driven by data has become an important carrier of digital trade and digital economic development. …”
Get full text

Enhancing Fuzzy C-Means Clustering with a Novel Standard Deviation Weighted Distance Measure by Ahmed Husham Mohammed, Marwan Abdul Hameed Ashour

“…One of the most important problems facing this algorithm is its reliance primarily on the Euclidean distance measure, and by nature, the situation is that this measure makes the formed clusters take a spherical shape, which is unable to contain complex or overlapping cases. …”
Get full text

Optimization method for educational resource recommendation combining LSTM and feature weighting by Meixia Yang

“…Finally, the bidirectional long short-term memory network algorithm is used for encoding iteration to minimize data omission and improve data interactivity, achieving accurate recommendation of educational resources. …”
Get full text

A Study on an Anti-Multiple Periodic Frequency Modulation (PFM) Interference Algorithm in Single-Antenna Low-Earth-Orbit Signal-of-Opportunity Positioning Systems by Lihao Yao, Honglei Qin, Hao Xu, Deyong Xian, Donghan He, Boyun Gu, Hai Sha, Yunchao Zou, Huichao Zhou, Nan Xu, Jiemin Shen, Zhijun Liu, Feiqiang Chen, Chunjiang Ma, Xiaoli Fang

“…This paper proposes a Signal Adaptive Iterative Optimization Resampling (SAIOR) algorithm, which leverages the periodicity of PFM jamming signals and the characteristics of LEO constellation signals. …”
Get full text

Optimization of Markov chain modeling in predicting college student retention by Kien Nguyen

“…With institutions across the US facing decreasing enrollment, developing a reliable retention prediction method is crucial. …”
Get full text

AutoVL: Automated streamflow separation for changing catchments and climate impact analysis by Vincent Lyne

“…The separation of streamflow into fastflow and slowflow components has been historically ambiguous, with existing separation methods like the Lyne-Hollick (LH) algorithm facing challenges due to subjective parameter choices. …”
Get full text

“Optimizing the Optimization”: A Hybrid Evolutionary-Based AI Scheme for Optimal Performance by Agathoklis A. Krimpenis, Loukas Athanasakos

“…Optimization algorithms for solving technological and scientific problems often face long convergence times and high computational costs due to numerous input/output parameters and complex calculations. …”
Get full text

BiModalClust: Fused Data and Neighborhood Variation for Advanced K-Means Big Data Clustering by Ravil Mussabayev, Rustam Mussabayev

“…K-means clustering is a fundamental tool in data mining, yet its scalability and efficacy decline when faced with massive datasets. In this work, we introduce BiModalClust, a novel clustering algorithm that leverages a bimodal optimization paradigm to overcome these challenges. …”
Get full text

GPT-NAS: Neural Architecture Search Meets Generative Pre-Trained Transformer Model by Caiyang Yu, Xianggen Liu, Yifan Wang, Yun Liu, Wentao Feng, Xiong Deng, Chenwei Tang, Jiancheng Lv

Get full text

Robust and Fast Point Cloud Registration for Robot Localization Based on DBSCAN Clustering and Adaptive Segmentation by Haibin Liu, Yanglei Tang, Huanjie Wang

“…Traditional Normal Distribution Transform (NDT) algorithms face challenges during their initialization phase, leading to the loss of local feature information and erroneous mapping. …”
Get full text

Multi-UAVs task allocation method based on MPSO-SA-DQN by Peng Pengfei, Gong Xue, Zheng Yalian

“…The reason is that multi-UAVs usually face changing environmental factors. Aiming at solving such problem, this paper proposes a multi-UAV task assignment method based on Deep Q-based evolutionary reinforcement learning algorithms (MPSO-SA-DQN). …”
Get full text

Air-ground collaborative multi-source orbital integrated detection system: Combining 3D imaging and intrusion recognition. by Mengyuan Yan, Xingyu Yang, Wei Gao, Lifan Rong, Shengbo Li, Yuan Xiong

“…We propose an improved LiDAR odometry and mapping with sliding window (LOAM-SLAM) algorithm enables real-time dynamic mapping, while an optimized iterative closest point (ICP) algorithm achieves high-precision point cloud registration and colorization. …”
Get full text

Distribution network planning considering active response of EVs and DTR of cables and transformers by Chen Pan, Weijiang Chen, Chengke Zhou, Wenjun Zhou

“…In this paper, we propose a model considering the active response of EVs, and a bi‐level DNP model incorporating the DTR of cables and transformers, in the upper level, the Prim algorithm is embedded into the particle swarm optimisation (PSO) algorithm to obtain an initial grid topology; in the lower level, types of cables and transformers as well as the installation of DTR equipment are determined, second‐order cone (SOC) relaxation and linearisation of the variables product are then carried out to meet the non‐linear constraints of cables and transformers, and the upper and lower models are solved in an iterative manner. …”
Get full text

Efficient collision-avoidance navigation strategy for autonomous surface vehicles in unstructured and constricted marine environments by Wenlong Meng, Rongdian Ku, Yanbo Pu, Xiaoxiao Shi, Ya Gong

“…Current path planning algorithms designed for unstructured environments, particularly those characterized by narrow spaces, often face difficulties in efficiently exploring the target area while producing high-quality paths. …”
Get full text

Large displacements of FGSW beams in thermal environment using a finite element formulation by Bui Thi Thu Hoai, Nguyen Dinh Kien, Tran Thi Thu Huong, Le Thi Ngoc Anh

“…Newton-Raphson based iterative algorithm is employed in combination with the arc-length control method to compute the large displacement response of a cantilever FGSW beam subjected to end forces. …”
Get full text

Global miniaturization of broadband antennas by prescreening and machine learning by Slawomir Koziel, Anna Pietrenko-Dabrowska, Ubaid Ullah

“…Identifying truly minimum-size designs requires a global search approach, as the popular nature-inspired algorithms face challenges related to computational efficiency and the need for reliable full-wave electromagnetic (EM) simulation to evaluate device’s characteristics. …”
Get full text