MULTI-OBJECTIVE TOPOLOGY OPTIMIZATION DESIGN OF HYDROGEN-FUELED TRUCK FRAME by LI YanXing, WANG Tie, JI ZhiYong, LI GuoXing, LI YuanJie

“…Taking a hydrogen-fueled truck frame as the research object, based on the topology optimization theory of variable density method, the goal of maximizing the static multi-working stiffness and improving the dynamic low-order natural frequency of the frame is realized. …”
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Novel Analysis of Fuzzy Fractional Emden-Fowler Equations within New Iterative Transform Method by M. Mossa Al-Sawalha, Naila Amir, Rasool Shah, Muhammad Yar

“…The graphical and numerical representation demonstrates the symmetry among the upper and lower fuzzy solution representations in their simplest form, which may aid in the comprehension of artificial intelligence, control system models, computer science, image processing, quantum optics, medical science, physics, measure theory, stochastic optimization theory, biology, mathematical finance, and other domains, as well as nonfinancial evaluation.…”
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Research of the Adaptability and Contact Characteristic of the Mechanical Model of Overrunning Clutch based on the Hertz Theory by Shi Guanglin, Chen Zhangwei, Nie Chao, Zhu Lin

“…Then,the application conditions of two mechanical methods are put forward through combining the contact optimization theory of Hertz. Besides,several parameters,such as contact stress,sliding distance that can reflect the contact characteristics of contact pair are obtained with the application of the finite element analysis software ANSYS,which actually verifies the adaptive conditions of two mechanical methods. …”
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Robust Proactive Project Scheduling Model for the Stochastic Discrete Time/Cost Trade-Off Problem by Hongbo Li, Zhe Xu, Li Xiong, Yinbin Liu

“…By modeling the activity time and cost using interval numbers, we propose a proactive project scheduling model for the SDTCTP-B based on robust optimization theory. Our model can generate robust baseline schedules that enable a freely adjustable level of robustness. …”
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Deep reinforcement learning based task allocation mechanism for intelligent inspection in energy Internet by Siya XU, Yifei XING, Shaoyong GUO, Chao YANG, Xuesong QIU, Luoming MENG

“…In order to reduce the cost and improve efficiency of power line inspection, UAV (unmanned aerial vehicle), which use mobile edge computing technology to access and process service data, are used to inspect power lines in the energy internet.However, due to the dynamic changes of UAV data transmission demand and geographical location, the edge server load will be unbalanced, which causes higher service processing delay and network energy consumption.Thus, an intelligent inspection task allocation mechanism for energy internet based on deep reinforcement learning was proposed.First, a two-layer edge network task offloading model was established to archive joint optimization of multi-objectives, such as delay and energy consumption.It was designed by comprehensively considering the route of UAV and edge nodes, different demands of services and limited service capabilities of edge nodes.Furthermore, based on Lyapunov optimization theory and dual-time-scaled mechanism, proximal policy optimization algorithm based deep reinforcement learning was used to solve the connection relationship and offloading strategy of edge servers between fixed edge sink layer and mobile edge access layer.The simulation results show that, the proposed mechanism can reduce the service request delay and system energy consumption while ensuring the stability of system.…”
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Proximal Neural Networks based reconstruction for few-view CT applications by Hoang Trieu Vy Le, Caroline Bossuyt, Julie Escoda, Marius Costin, Jan De Beenhouwer, Jan Sijbers

“…PNNs, grounded in optimization theory, offer flexibility and can be adapted to any image restoration task solvable by a proximal algorithm. …”
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Construction and optimization of a smart classroom system for emotional computing by HUANG Lijuan, CHENG Zhengyi, YANG Ziyan

“…Secondly, to improve the performance of the smart classroom system, convex optimization theory was utilized to optimize the allocation of system resources. …”
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A Multiobjective Route Robust Optimization Model and Algorithm for Hazmat Transportation by Changxi Ma, Wei Hao, Ruichun He, Bahman Moghimi

“…The objective of the model is to minimize not only transportation risk but also transportation time, and a robust counterpart of the model is introduced through applying the Bertsimas-Sim robust optimization theory. Moreover, a fuzzy C-means clustering-particle swarm optimization (FCMC-PSO) algorithm is designed, and the FCMC algorithm is used to cluster the demand points. …”
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Task scheduling optimization strategy for roadside unit based on security strength by SU Beipo, DAI Liang, JU Yongfeng

“…The optimization model was subsequently transformed using Lyapunov optimization theory and was reformulated as a knapsack problem for resolution. …”
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STRUCTURAL TOPOLOGY OPTIMIZATION FOR FLOOR BEAM OF RACK EMU BODY CONSIDERING MODAL FACTORS by CHEN RuiWen, YIN XiangYun, LI Gang, TU Xu, YIN GuoFu

“…Aiming at the lightweight design of rack EMU body floor beam, a structural design method combining 2 D with 3 D based on modal analysis and topology optimization theory was proposed. Firstly, the topology optimization of the 2 D section of floor beam with the minimum strain energy was carried out by using the finite element analysis and the structural optimization design software, and the topology configuration of the coarse section was obtained. …”
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High-Order Sliding Mode Control for Networked Control System with Dynamic Noncooperative Game Scheduling by Weixuan Wang, Shousheng Xie, Bin Zhou, Jingbo Peng, Lei Wang, Hao Wang, Yu Zhang

“…Subsequently, the quadratic optimization theory was adopted to regulate the control value following the implementation of the scheduling strategy to ensure that the control quality was further enhanced in the limited network service. …”
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Quantum machine learning for Lyapunov-stabilized computation offloading in next-generation MEC networks by Vandana Rani Verma, Dinesh Kumar Nishad, Vishnu Sharma, Vinay Kumar Singh, Anshul Verma, Dharti Raj Shah

“…This paper uses Lyapunov optimization theory to propose a novel quantum machine learning framework for stabilizing computation offloading in next-generation MEC systems. …”
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Topology Optimization Analysis of Aero-engine Gearbox Housing Considering the Coupling of Thermal Elastohydrodynamic Lubrication by Jiaxin Mu, Bin Xing, Mei Guo, Hengwen Qiao, Qiuju Wang

“…In order to improve the structural performance of the aero-engine gearbox housing and reduce the adverse effects of the engine bad working conditions on the supporting components， the topology optimization theory based on variable density method is adopted， and the minimum flexibility index and weighted average transverse eigenvalue are taken as the target number， and the coupling of thermal-elastohydrodynamic-lubrication effects of the supporting components are considered. …”
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Research on multi-objective hierarchical site selection coverage of fire station. by Junjie He, Xin Guan, Houjun Lu, Juntao Yang

“…The fire station location has essential theoretical and practical values, not only in terms of maintaining the safety of life and property, but also enriching the optimization theory of site selection problems. To study the multi-objective siting problem of fire stations, we firstly divided demand areas and fire stations into three levels to form a comprehensive hierarchical emergency coverage network covering fire risk areas. …”
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Multiobjective Optimization of Port Collecting and Distributing Network Considering the Balance Among Efficiency, Environmental Performance, and Disruption to Urban Traffic by Yi Yang, Bochi Liu, Dongan Chen, Xinglu Xu, Wenyuan Wang

“…First, the generation mechanism and characteristics of freight traffic flow in the PCDN are analyzed, followed by the development of a mathematical model based on the static traffic flow distribution theory and the multiobjective optimization theory. Then, a solution framework with NSGA-III as the core is developed, and an improved Dial algorithm is utilized to allocate traffic flow. …”
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Comparative analysis study of resistance characteristics of backhoe hydraulic excavators by Li Tianyu, Ren Zhigui, Pang Xiaoping, Cao Shusheng, Li Jiahao

“…Subsequently, employing the response surface optimization theory, the main value intervals of relevant data under different conditions were obtained, and the impact of excavation scenarios and type variations on the distribution of these intervals was explored. …”
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Machine Learning-Based Offloading Strategy for Lightweight User Mobile Edge Computing Tasks by Shuchen Zhou, Waqas Jadoon, Junaid Shuja

“…Then, based on the analysis of the concave-convex properties of this optimization model, this paper uses variable relaxation and nonconvex optimization theory to transform the problem into a convex optimization problem. …”
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Optimal downlink power allocation schemes for OFDM-NOMA-based Internet of things by Ya Gao, Fei Yu, Haoran Zhang, Yongpeng Shi, Yujie Xia

“…Solving these sub-problems, we obtain the optimal power allocation schemes by jointly employing channel-state sorting–pairing algorithm, water-filling algorithm, and convex optimization theory. Finally, numerical simulations are conducted to validate the performance of our proposed optimal downlink power allocation scheme. …”
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A bi-level optimization strategy of electricity-hydrogen-carbon integrated energy system considering photovoltaic and wind power uncertainty and demand response by Mingxuan Lu, Yun Teng, Zhe Chen, Yu Song

“…The upper-level model analyzes these uncertainties by modeling short-term and long-term output errors using robust optimization theory, applies an improved stepwise carbon trading model to control carbon emissions, and finally constructs an electricity-hydrogen-carbon cooperative scheduling optimization model to reduce wind and carbon emissions. …”
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Weighted joint curve inversion of aquifer parameters in pumping tests with multiple observation wells by Mingqian Li, He Wang, Hongbiao Gu, Baoming Chi

“…A weighted joint curve method (WJCM) based on Theis equation and optimization theory, which simultaneously considers both the pumping and recovery stages of field tests. …”
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