Research on the application of improved MCMC algorithm in the measurement of high-dimensional financial data by Naijia Liu, Yuchao Su

“…In the face of high-dimensional financial data econometric analysis, numerous algorithms inevitably face problems such as difficult model identification, too slow convergence, and too long iteration time. …”
Get full text

Structural Parameter Identification Using Multi-Objective Modified Directional Bat Algorithm by LIU Li-jun, LIN Ying-hai, SU Yong-hui, LEI Ying

“…These results highlight the algorithm’s robustness and precision in handling noisy data. …”
Get full text

Efficient hardware error correction with hybrid on-offline configuration algorithm for optical processor by Zichao Zhao, Huihui Zhu, Qishen Liang, Haoran Ma, Ziyi Fu, Xingyi Jiang, Bei Chen, Yuehai Wang, Tian Chen, Yuzhi Shi, Jianyi Yang

“…Here, we propose a hybrid on-offline configuration (HOOC) algorithm for programmable optical processors. This innovative approach combines offline initial value presetting with online perturbed optimization iteration algorithm, enabling precise and highly efficient error correction. …”
Get full text

Global and local path planning of robots combining ACO and dynamic window algorithm by Yaping Lu, Chen Da

“…Therefore, a global and local path planning method combining improved ant colony algorithm and improved dynamic window algorithm is proposed. …”
Get full text

Advances in Surveying Topographically Complex Ecosystems with UAVs: Manta Ray Foraging Algorithms by Shijie Yang, Jiateng Yuan, Zhibo Chen, Hanchao Zhang, Xiaohui Cui

“…Meanwhile, the ability of the MRFO algorithm to quickly construct approximate high-quality solutions with shortest path lengths in a limited number of iterations validates its potential in practical applications. …”
Get full text

Research progress in globular fruit picking recognition algorithm based on deep learning by LI Hui, ZHANG Jun, YU Shuochen, LI Zhixin

“…With the continuous research by domestic scholars, YOLO algorithm is also continuously iteratively optimized, and its ability to detect the objects of different sizes and shapes is significantly improved, which can adapt to the maturity degree, size and occlusion of fruits, and improve the detection performance in complex environments.…”
Get full text

Reference coordinate based Chan algorithm for UWB personnel localization in underground coal mines by Zhipeng Li, Zecheng Li

“…It also maintains the efficiency of the Chan algorithm and avoids iterative filtering (e.g., particle resampling in PF-Chan), which is a significant advantage over other algorithms. …”
Get full text

3D LiDAR motion distortion algorithm for open-pit coal mine by Hui LI, Minchao LI, Lizhen CUI, Baoliang MA, Qingyu ZHANG, Bingbing PAN

“…To enrich the preprocessed laser point cloud data, Iterative Closest Point (ICP) matching is being incorporated at the front-end of the algorithm, facilitating the extraction of the key-frame point cloud X. …”
Get full text

Parameter estimation of power system wideband oscillation based on Zoom FFT and relaxation algorithm by Shuang Feng, Yue Mei, Zhirui Zhang, Jiaxing Lei, Yi Tang

“…Additionally, to address the low accuracy in estimating wideband oscillation frequencies within a short time window, which negatively impacts the estimation accuracy of other parameters and the efficiency of algorithm iterations, the paper uses ZFFT for preliminary frequency estimation. …”
Get full text

Complex Path Planning for Manipulators Based on an Improved NSGA-III Algorithm With Hopfield Network by Xiaoxiang Sun, Jue Wang, Wei Wang

“…In various production applications across industries such as manufacturing and agriculture, manipulators often face complex trajectories composed of numerous locally discrete paths during movement. …”
Get full text

Implementation of Re-Simulation-Based Integrated Analysis System to Evaluate and Improve Autonomous Driving Algorithms by Soobin Jeon, Junehong Park, Dongmahn Seo

“…The system also introduces robust re-simulation capabilities, enhancing algorithm validation using iterative testing based on real-world or simulated sensor data. …”
Get full text

Research on Enhanced Belief Propagation List Decoding Algorithm for Polar Codes in UAV Communications for 6G by Chuanji Zhu, Yuanzhi He, Zheng Dou

“…However, existing BPL decoding algorithms for polar codes face issues such as high hardware resource consumption and unsatisfactory decoding accuracy. …”
Get full text

EVALUATION OF PARTICLE SWARM ALGORITHM MODIFICATIONS ON SUPPORT VECTOR MACHINE HYPERPARAMETER OPTIMIZATION TUNING FOR RAIN PREDICTION by Aina Latifa Riyana Putri, Joko Riyono, Christina Eni Pujiastuti, Supriyadi

“… The Particle Swarm Optimization (PSO) algorithm, though simple and effective, faces challenges like premature convergence and local optima entrapment. …”
Get full text

A Fast Satellite Selection Algorithm Based on NSWOA for Multi-Constellation LEO Satellite Dynamic Opportunistic Navigation by Chuanjin Dai, Yuqiang Chen, Bo Zang, Lin Li, Liang Zhang, Ke Wang, Meng Wu

“…To address this, we propose a fast satellite selection algorithm based on the Non-Dominated Sorting Whale Optimization Algorithm (NSWOA) for dynamic, multi-constellation LEO opportunistic navigation. …”
Get full text

Virtual Simulation Management of Data Traffic Optimization of Big Data Cloud Platform considering Multipoint Mapping Algorithm by Haibo Wu

“…In view of these needs and limitations, this paper introduces the multipoint mapping algorithm, combs the statistical methods of platform cloud traffic, carries out platform data traffic by classification, constructs the data traffic optimization management model, analyzes the relevant data samples, carries out statistical calculation for data diversion tasks, analyzes and processes the priority indicators, and forms the final results through continuous iteration, realizing the management of data flow optimization virtual simulation of big data cloud platform. …”
Get full text

Tramp Ship Routing and Scheduling with Integrated Carbon Intensity Indicator (CII) Optimization by Haiying Yang, Feiyang Ren, Jingbo Yin, Siqi Wang, Rafi Ullah Khan

“…A bi-objective optimization model is developed, with two objective functions aimed at maximizing fleet profit and improving CII ratings. The Gale–Shapley algorithm is employed to achieve stable vessel–cargo matching, and the genetic algorithm is adopted for iterative optimization. …”
Get full text

A Robust Salp Swarm Algorithm for Photovoltaic Maximum Power Point Tracking Under Partial Shading Conditions by Boyan Huang, Kai Song, Shulin Jiang, Zhenqing Zhao, Zhiqiang Zhang, Cong Li, Jiawen Sun

“…Currently, numerous intelligent maximum power point tracking (MPPT) algorithms are capable of tackling the global optimization challenge of multi-peak photovoltaic output power under partial shading conditions, yet they often face issues such as slow convergence, low tracking precision, and substantial power fluctuations. …”
Get full text

Optimizing SVC placement for enhanced voltage stability using a novel index and hybrid ABC-PSO algorithm by Hafizur Rahman, Roman Mia, Mustafizur Rahman, Md. Faiyaj Ahmed Limon, Md. Shahid Iqbal, Md. Fahad Jubayer, Md. Rabiul Karim, Md. Janibul Alam Soeb

“…The economic analysis also shows substantial yearly cost savings, with best-case installations achieving return on investment (ROI) within <1.5 years. The ABC-PSO hybrid algorithm converges very quickly to optimal solutions in 10 to 40 iterations and outperforms five state-of-the-art optimizers with a 100 % success rate for the IEEE 14-bus system and a mean computation time of 0.041 s per iteration. …”
Get full text

Multi-Dimensional Fuzzy Clustering-Based Trajectory Initialization Algorithm for Infrared Weak Target Trajectories in Robust Clutter Environments by Ziqian Yang, Hongbin Nie, Yiran Li, Chunjiang Bian

“…However, the traditional trajectory initialization algorithms face issues such as susceptibility to noise interference, lack of universality, and poor robustness in environments with high clutter levels. …”
Get full text

Multi-Layer Perceptron Neural Network Utilizing Adaptive Best-Mass Gravitational Search Algorithm to Classify Sonar Dataset by Mohammad Reza MOSAVI, Mohammad KHISHE, Mohammad Jafar NASERI, Gholam Reza PARVIZI, Mehdi AYAT

“…To lift defections, this study uses Adaptive Best Mass Gravitational Search Algorithm (ABGSA) to train MLP NN. This algorithm develops marginal disadvantage of the GSA using the best-collected masses within iterations and expediting exploitation phase. …”
Get full text