Shape Optimization of the Cross-Section for Noncircular Hypersonic Missile Forebody by Jingfan Chen, Xiaoqiang Fan, Bing Xiong, Yi Wang

“…The evolutionary algorithm has been utilized to improve the optimization efficiency. …”
Get full text

Spatiotemporal optimization for communication-navigation-sensing collaborated emergency monitoring by Xicheng Tan, Bocai Liu, Chaopeng Li, Zeenat Khadim Hussain, Kaiqi Wang, Kai Wang, Mengyan Ye, Danyang Yang, Zhiyuan Mei

“…This paper presents a communication-navigation-sensing spatiotemporal cooperative optimization algorithm based on ResNet-DDPG. It aims to achieve spatiotemporal cooperative optimization of ground CNS nodes in the absence of aerial relay ad hoc network nodes (RANET nodes). …”
Get full text

Design of a High-Efficiency External Rotor Interior Permanent Magnet Synchronous Motor Without Magnetic Leakage Flux Path by Kyoung-Soo Cha, Jae-Hyun Kim, Soo-Gyung Lee, Min-Ro Park

“…A V-shaped IPMSM is then proposed to increase the permanent magnet volume and reduce magnetic leakage. Design optimization is conducted using Gaussian process models (GPMs) constructed with a Latin hypercube design (LHD), and the optimal design is determined using a gradient descent algorithm. …”
Get full text

Joint optimization of communication rates for multi-UAV relay systems by Chenghua Wen, Guifen Chen, Xinglong Gu, Wenzhe Wang

“…Finally, the proposed algorithm is compared under different optimization schemes and different optimization algorithms. …”
Get full text

Optimizing micro cold storage for detecting stale food and fruits by Arun Sreelekha, Amit Wagle Shivali, Nambiar Prahas, Panalkar Pratham, Ekka Prince, Kumar Vaibhav, Dhiman Harsh, Roy Anindita

Get full text

Evaluation and Optimization of Air Traffic Complexity Based on Resilience Metrics by Hongyong Wang, Jiawen Huang, Taotao Deng, Ziqi Song

“…By establishing a sector complexity optimization model, the complexity of sector air traffic and its volatility can be greatly reduced by changing the departure time of some flights. …”
Get full text

RELIABILITY ESTIMATION OF MECHANICAL SEALS BASED ON ARTIFICIAL HUMMINGBIRD ALGORITHM AND THREE⁃PARAMETER WEIBULL DISTRIBUTION by LI AnHong, ZHU JunHua, YU Ling

“…In order to quickly and accurately evaluate the reliability of mechanical seals,the three⁃parameter Weibull distribution was used to model the mechanical seal failure data.The reliability evaluation problem of mechanical seal was transformed into a constraint optimization problem,and a reliability evaluation method based on artificial hummingbird algorithm(AHA)was proposed.Through numerical simulation and case analysis,maximum likelihood estimation(MLE),improved Harris Hawks optimization(IHHO)algorithm and AHA were used to compare calculation accuracy and operational efficiency in solving the Weibull distribution parameter estimation problems.The results show that the parameter estimation using AHA has advantages of faster convergence speed and higher accuracy,and it can shorten the optimization time and improve the accuracy compared with MLE algorithm and IHHO algorithm,which provides a new and efficient method for Weibull parameter estimation of mechanical seals.…”
Get full text

Noise-augmented chaotic Ising machines for combinatorial optimization and sampling by Kyle Lee, Shuvro Chowdhury, Kerem Y. Camsari

“…We refine the previously proposed coupled chaotic bits (c-bits), which operate deterministically, by introducing noise. This improves performance in combinatorial optimization, achieving algorithmic scaling comparable to probabilistic bits (p-bits). …”
Get full text

Dynamic contagion potential framework for optimizing infection control in healthcare by Alexandra Fedrigo, Mohamad Nassar, Jennifer Bail, Antonia Bates-Ford, Satyaki Roy

“…The framework also introduces a CP-based optimization algorithm for patient-to-unit assignments that jointly minimizes contagion risk while satisfying clinical and logistical constraints.ResultsThe framework's efficacy is validated through modular and integrated evaluations. …”
Get full text

Deep Reinforcement Learning for Optimal Replenishment in Stochastic Assembly Systems by Lativa Sid Ahmed Abdellahi, Zeinebou Zoubeir, Yahya Mohamed, Ahmedou Haouba, Sidi Hmetty

“…The Deep Q-Network (DQN) algorithm is adapted and employed to learn optimal replenishment policies over a fixed planning horizon. …”
Get full text

Optimization of Geometric Characteristics of Cycloidal Profiles of Gerotor Hydraulic Machines by S. O. Kireev, A. R. Lebedev, M. V. Korchagina

“…The basic research method was modeling the gerotor machine profile using Mathcad computer mathematics system. …”
Get full text

Shape optimization and mechanical properties analysis of the free-form surface by Cui Guoyong, Cui Changyu

“…A new method was established to minimize the strain energy while improving the computation efficiency. The optimization model, sensitivity analysis, optimum algorithm, and mechanics analysis program were all implemented in FORTRAN language, with two free-form continuous shell structure surfaces to demonstrate the correctness and effectiveness of the method. …”
Get full text

Enhancing Engineering and Architectural Design Through Virtual Reality and Machine Learning Integration by Ali Shehadeh, Odey Alshboul

Get full text

Optimization of transportation efficiency through fuzzy logic and LINGO software by Zahoor Ahmad Ganie, Zahid Gulzar Khaki, Tanveer Ahmad Tarray, Gazala Salam, Eid Sadun Alotaibi

“…This study significantly contributes to the development of optimization algorithms and transportation systems with a solid basis for accurate, privacy-preserving data collection and efficient decision-making.…”
Get full text

Breast Cancer Classification with Various Optimized Deep Learning Methods by Mustafa Güler, Gamze Sart, Ömer Algorabi, Ayse Nur Adıguzel Tuylu, Yusuf Sait Türkan

Get full text

Predicting Days on Market to Optimize Real Estate Sales Strategy by Mauro Castelli, Maria Dobreva, Roberto Henriques, Leonardo Vanneschi

Get full text

Reflection Reduction on DDR3 High-Speed Bus by Improved PSO by Huiyong Li, Hongxu Jiang, Bo Li, Miyi Duan

“…Additionally, an improved particle swarm optimization algorithm with adaptive perturbation is presented to solve the impedance mismatch problem (IPSO-IMp) based on the above model. …”
Get full text

TCE-YOLOv5: Lightweight Automatic Driving Object Detection Algorithm Based on YOLOv5 by Han Wang, Zhenwei Yang, Qiaoshou Liu, Qiang Zhang, Honggang Wang

“…Finally, the EIOU loss function is introduced to measure the overlap between the predicted box and the real box more accurately and improve the detection accuracy. The test results of KITTI and CCTSDB2021 public traffic datasets show that compared with the original YOLOv5 model, the improved algorithm reduces the number of parameters by 20%, the calculation amount by 21%, and mAP@0.5 by 1.0%. …”
Get full text

Fractional Optimizers for LSTM Networks in Financial Time Series Forecasting by Mustapha Ez-zaiym, Yassine Senhaji, Meriem Rachid, Karim El Moutaouakil, Vasile Palade

“…These results suggest that fractional-order optimization holds significant promise for improving financial forecasting models—provided that the fractional parameters are carefully tuned to balance memory effects with system stability.…”
Get full text

RESEARCH ON PERFORMANCE PREDICTION OF THIN SEAM SHEARER BY COMBINING GENETIC ALGORITHM WITH BP NEURAL NETWORK by ZHAO LiJuan, JIN ZhongFeng

“…Established mathematical model of thin seam shearer,we use genetic algorithm to optimize the weighted values and threshold values of the BP neural network,using the simulation data for training and testing samples,and then use the BP algorithm to train the neural network,thus avoiding the local minimum values when the training is done with the BP neural network alone. …”
Get full text