Design on a Composite Mobile System for Exploration Robot by Weiyan Shang, Canjun Yang, Yunping Liu, Junming Wang

“…Firstly, a simplified dynamic model has been established, and then by affecting factors analysis on ride performance, an optimization model for suspension parameters has been presented. …”
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Multiplicative Fault Estimation-Based Adaptive Sliding Mode Fault-Tolerant Control Design for Nonlinear Systems by Ali Ben Brahim, Slim Dhahri, Fayçal Ben Hmida, Anis Sellami

“…Compared with the separated FTC, this paper provides an integrated sliding mode FTC in order to achieve an optimal robustness interaction between observer and controller models. …”
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Thermodynamics of Bi2O3-SiO2 system by Onderka B., Fitzner K., Kopyto M., Przybyło W.

“…Optimization procedure was supported by differential thermal analysis (DTA) data obtained in this work as well as those accepted from the literature. …”
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Improved Honey Badger Algorithm and Its Application to K-Means Clustering by Shuhao Jiang, Huimin Gao, Yizi Lu, Haoran Song, Yong Zhang, Mengqian Wang

“…In this paper, an improved honey badger optimization algorithm is proposed: (1) The population is initialized using sin chaos to make the population uniformly distributed. (2) The density factor is improved to enhance the optimization accuracy of the population. (3) A nonlinear inertia weight factor is introduced to prevent honey badger individuals from relying on the behavior of past individuals during position updating. (4) To improve the diversity of solutions, random opposition learning is performed on the optimal individuals. …”
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A Two-Level Model for Traffic Signal Timing and Trajectories Planning of Multiple CAVs in a Random Environment by Yangsheng Jiang, Bin Zhao, Meng Liu, Zhihong Yao

“…The dynamic programming (DP) and the General Pseudospectral Optimal Control Software (GPOPS) are applied to solve the two-level optimization problem. …”
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A review of state-of-the-art resolution improvement techniques in SPECT imaging by Zhibiao Cheng, Ping Chen, Jianhua Yan

“…It delves into advancements in detector design and modifications, projection sampling techniques, traditional reconstruction algorithm development and optimization, and the emerging role of deep learning. …”
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New Heuristic Local Search Method for University Course Timetabling by Mohammad Sadegh Shiri, Mostafa Khorramizadeh, Vahid Ahmadi

“…While the fitness function of the first phase is based on the violation of hard constraints, the fitness function of the second phase is based on the penalty of the feasible solution.Findings: The numerical results indicate that the required computing time increases with the size of instances, and the algorithm tends to converge towards the optimal solution after a few minutes.Originality/Value: The presented algorithm enables us to deal with extensive university course timetabling problems in practice. …”
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Two-Phase Model of Multistep Forecasting of Traffic State Reliability by Jufen Yang, Zhigang Liu, Guiyan Jiang, Lin Zhu

“…Then a two-phase model is established based on wavelet neural network optimized by particle swarm optimization. The upper phase is a model to estimate the number of predictable steps, and the lower phase is the multistep prediction model of reliability. …”
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New Models for Home Health Care under Uncertainty with Consideration of the Coordinated Development of Economy and Environment by Yan Cui, Lijun Zhang, Qiuye Gao, Bohao Li, Yumei Hou

“…Therefore, a robust optimization (RO) model is proposed to resist uncertain disturbances by introducing a robust uncertain set response. …”
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Research on the Revolution of Multidimensional Learning Space in the Big Data Environment by Weihua Huang

“…This paper studies big data processing technology and representative systems and analyzes multidimensional analysis and performance optimization technology. This article discusses the importance of discrete multidimensional learning resource allocation optimization in dynamic scenarios. …”
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Simulation and Prediction of Injection Pressure in CO2 Geological Sequestration Based on Improved LSO Algorithm and BP Neural Networks by Miaomiao Liu, Xiaofei Fu, Shanpo Jia, Yongsheng Zhang, Yuying Zhang, Dan Yao

“…In order to avoid the occurrence of caprock integrity damage and gas escape due to injection pressure overrun in CO2 sequestration, an optimized back propagation (BP) neural network model based on Monte Carlo simulation (MCS) and an improved lion swarm optimization (ILSO) algorithm is proposed for the maximum sustainable injection pressure prediction. …”
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Adaptive Image Denoising Method Based on Diffusion Equation and Deep Learning by Shaobin Ma, Lan Li, Chengwen Zhang

“…A neural network is used to realize image denoising because of its good learning ability of image statistical characteristics, mainly by the diffusion equation and deep learning (CNN) algorithm as the foundation, focus on the effects of activation function of network optimization, using multiple feature extraction technology in-depth networks to study the characteristics of the input image richer, and how to better use the adaptive algorithm on the depth of diffusion equation and optimization backpropagation learning. …”
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Proposed Method for Note Detection and Automatic Identification of the Melody Models (Gusheh) in Iranian Traditional Music with Micro Approach by Amir Vafaeian, Keivan Borna, Hamed Sajedi, Dariush Alimohammadi, Pouya Sarai

“…Finally, the optimization problem is solved via greedy and dynamic programming approaches and while selecting the best sentences, the final summary is generated. …”
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Quality of computed tomography image versus dose in hybrid studies: preliminary results in phantom by Adlin López Díaz, Armando del Pozo Almaguer, Adalberto Machado Tejeda, Karla Batista Ramó, Carlos F Calderón Marín, Leonel Torres Aroche

“…<p><strong>Background:</strong> hybrid studies produce a total radiation dose that is the result of the dose imparted by the radiopharmaceutical and that emitted by the computed tomography, therefore optimization is essential.<br /><strong>Objective:</strong> to evaluate the relationship of the computed tomography dose with some image quality parameters in hybrid study protocols.…”
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Effect of oxygen potential and fluxing components on phase relations during sintering of iron ore by Mcbow I., Kongoli F., Budd R., Llubani S., Yazawa A.

“…The optimal operation of the blast furnace depends considerably on the properties of the sinter fed into the furnace. …”
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Comparative Study of Popular Objective Functions for Damping Power System Oscillations in Multimachine System by Naz Niamul Islam, M. A. Hannan, Hussain Shareef, Azah Mohamed, M. A. Salam

“…Power oscillation damping controller is designed in linearized model with heuristic optimization techniques. Selection of the objective function is very crucial for damping controller design by optimization algorithms. …”
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Identification of Vibration Signal for Residual Pressure Utilization Hydraulic Unit Using MRFO-BP Neural Network by Qingjiao Cao, Liying Wang, Jiajie Zhang, Tengfei Guo, Xiyuan Liu

“…The weights and thresholds in BP neural network are optimized by the MRFO algorithm. The feature vectors are input into the optimized BP neural network to realize the identification and classification of vibration signals. …”
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Application of Artificial Intelligence Techniques on Computational Electromagnetics for Power System Apparatus: An Overview by Dinusha Maramba Gamage, Madhawa Ranasinghe, Venkata Dinavahi

“…The paper then delves into the integration of AI techniques, including ML, deep learning, and optimization algorithms, into CEM frameworks. Emphasis is placed on how AI enhances the accuracy and efficiency of EM simulations, enabling rapid analysis and optimization of power system components and configurations. …”
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Evaluating Physical Education Quality in Higher Education Using a Picture Fuzzy Decision Framework With Muirhead Mean Operator and MULTIMOORA Method by Rui Xue

“…This study introduces an innovative decision-making model by integrating the Multi-Objective Optimization by Ratio Analysis plus Full Multiplicative Form (MULTIMOORA) method and the Muirhead Mean (MM) operator. …”
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Fatigue life prediction of the drilling mast for rotary drilling rig using an improved hybrid algorithm by Heng Yang, Qing Lu, Yuhang Ren, Gening Xu, Wenxiao Guo, Qianbin Geng

“…To address the demand for accurate fatigue life prediction of the drilling mast for rotary drilling rig in engineering, an improved hybrid Aquila-African Vulture Optimization Algorithm (IAOAVOA) is proposed to optimize the BP neural network method for predicting the fatigue life of drill masts. …”
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