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2021 The 3rd international conference on modeling, simulation, optimization and Algorithm[ICMSOA2021], 12-14 November, 2021

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Journal of Physics: conference Series 2022年第1期2173卷 011001页

1. About ICMSOA2021 Organized by Yaseen Academy, 2021 The 3rd international conference on modeling, simulation, optimization and Algorithm (ICMSOA2021) was held during 12-14 November, 2021 at Crowne Plaza Sanya City Center, Sanya, Hainan Province, China. Due to the different restrictions caused by Covid-19 according to particular provinces and cities, some of the participants participated in the physical conference at Sanya, but others had to join the conference online via Tencent Meeting. The conference looks for significant contributions to all major fields of Computational modeling, simulation, optimization and Algorithm in theoretical and practical aspects. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Organizer: Yaseen Academy is located at Huangjiahu Lake University Town, Wuhan, Hubei, China, focusing on international academic conferences organizing and international academic journals corperation in areas of science and engineering, aiming to provide a high-level and open academic platform for global scholars, researchers and practioners. It has gathered an academic committee composed of more than 200 experts and scholars, and has successfully held many international academic conferences. Facing the vast number of experts and scholars, Yaseen Academic is a team with strong professional quality and professional ethics, it has creating a mature, deep and complete academic exchange platform, not only allowing experts and scholars to show and share their latest academic research results and realizing face-to-face academic exchanges, but also allowing the most cutting-edge scientific information, ideas, and viewpoints to be fully communicated and exchanged, which will benefit all mankind. List of Call for papers, conference Committee Members, Paper Submission, Programs are available in this pdf.

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3D Electromagnetic simulation and modeling for DTCO of decoupling high-density capacitor in silicon interposer for HPC applications

3D Electromagnetic simulation and modeling for DTCO of decou...

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international conference on simulation of Semiconductor Processes and Devices (SISPAD)

作者： Jacquinot, Helene Pluchart, Emmanuel Rothan, Frederic Martinie, Sebastien Wakaoka, Takuo Kasai, Ryo Hidaka, Seiji Voiron, Frederic Laviron, Cyrille Moursy, Yasser Univ Grenoble Alpes LETI CEA F-38000 Grenoble France Murata Mfg Co Ltd Kyoto Japan Murata Integrated Pass Solut SAS Caen France

ISBN: (纸本)9798331516369;9798331516352

In this paper, we present a Design-Technology Co-optimization (DTCO) methodology of a heterogeneous 2.5D system that aims at integrating a passive interposer with HPC chiplets. The interposer comprises 3D high-density decoupling capacitors with the power delivery network (PDN) of the HPC chiplets. The proposed methodology is based on the discretization of the interposer into unit-cells and uses spatially distributed SPICE modeling to achieve voltage drop optimization, thus improving the performance of the chiplets at system level, in iterative loop processes. Using Electromagnetic (EM) simulation for unit-cells, incorporating boundary conditions that can be customized, we found out that neighboring cells play a significant role in the voltage drop seen inside the unit-cell as a result of resistive and inductive distributed parasitic interconnects. Consequently, these adjacent cells were incorporated into the EM simulation set-up for accurate power integrity analysis at system level.

关键词： Power Delivery Network (PDN) Electromagnetic (EM) simulations BEOL (Back-end-of-Line) Parasitic interconnects High-density integrated capacitor Chiplet DesignTechnology Co-optimization (DTCO)

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Antenna Electromagnetic Compatibility Layout optimization simulation Based on CST-PSO Hybrid Method 4

Antenna Electromagnetic Compatibility Layout Optimization Si...

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4th international conference on applied Mathematics, modeling and Computer simulation, AMMCS 2024

作者： Hu, Xiao Li, Ping Xu, Qinglin Li, Huanli Shi, Jiazhao Xi'an Modern Control Technology Research Institute Shaanxi Xi'an710065 China

ISBN: (纸本)9781643685519

Due to the complex electromagnetic characteristics of different devices and the limited space of the carrier, the electromagnetic compatibility problem of multi-antenna systems is becoming increasingly prominent. How to optimize the antenna layout and reduce the interference coupling of antenna system has become an urgent problem to be solved. To this end, this paper proposed a hybrid CST-PSO method to solve the electromagnetic compatibility layout optimization problem of antenna system. In this hybrid method, the simulation calculation of antenna coupling degree is based on the electromagnetic simulation software CST, and the layout optimization simulation of antenna system is based on the particle swarm optimization (PSO). Based on the hybrid method, the electromagnetic compatibility layout optimization simulation analysis is conducted on a typical multi-antenna system model. The simulation results show that the hybrid method can effectively optimize the layout and reduce the coupling degree of multi-antenna systems. © 2024 The Authors.

关键词： Particle swarm optimization (PSO)

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modeling and simulation of CMOS Schmitt Trigger Circuits Using a Multi-Objective Mayfly optimization Algorithm

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international JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS 2025年第2期38卷

作者： Abuelrub, Ahmad Zghoul, Fadi Nessir Alteehi, Haneen Fawaz, Bayan Bany Jordan Univ Sci & Technol Fac Engn Dept Elect Engn Irbid 22110 Jordan

Schmitt Trigger Circuits (STCs) play a crucial role in digital and analog signal processing by providing noise immunity and stable switching behavior. However, optimizing STC performance for low-power, high-speed applications remains a challenging task. This study proposes a novel approach using the Multi-Objective Mayfly optimization Algorithm (MOMA) to optimize key STC parameters, including power dissipation, propagation delay, and hysteresis voltage. The optimization process was conducted using MATLAB, whereas LTSpice was employed for circuit-level validation using 0.25 mu m/2.5 V CMOS technology. To identify the best trade-off solutions, various weighting methods were applied, including Statistical Variance, Standard Deviation, CRITIC, and Mean methods, ensuring a balanced evaluation of circuit performance. Numerical results show that the optimized STC achieved a 23% reduction in propagation delay, a 38% decrease in power dissipation, and improved noise immunity while maintaining robust switching characteristics. These findings confirm the effectiveness of MOMA in designing low-power, high-performance STCs suitable for modern VLSI, biomedical, and IoT applications.

关键词： CMOS inverter cost function fall timeMayfly optimization algorithm (MA)Multi-objective Mayfly optimization algorithm rise time (MOMA)spicetime delay

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Application research of bayesian optimization algorithm in DHCPv6 stateful allocation 4

Application research of bayesian optimization algorithm in D...

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4th international conference on Computer Vision, Application, and Algorithm, CVAA 2024

作者： Liang, Yang Tianjin Branch of National Computer Network Emergency Response Technical Team Coordination Center of China Tianjin China

ISBN: (数字)9781510687622

ISBN: (纸本)9781510687615

This paper studies the application of the Bayesian optimization algorithm in DHCPv6 stateful allocation, addressing the efficiency issues of traditional allocation strategies in high-load scenarios. By constructing a simulation platform, simulating different network load environments, and validating optimization effects in a real network, the experimental results show that the Bayesian optimization algorithm significantly improves network response speed and address allocation success rates, particularly excelling under high-load conditions. This research provides an important reference for further optimization of DHCPv6 networks and verifies the practical value of the algorithm. © 2025 SPIE.

关键词： Mathematical optimization Computer simulations Network architectures Performance modeling Design Pollution control modeling Process modeling Reliability Target acquisition

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Advanced Analog Design optimization: Comparison between Reinforcement Learning and Heuristic Algorithms 20

Advanced Analog Design Optimization: Comparison between Rein...

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20th international conference on Synthesis, modeling, Analysis and simulation Methods and Applications to Circuit Design, SMACD 2024

作者： Chevalier, Michel Trochut, Severin Guizzetti, Roberto Urard, Pascal Labrak, Lioua Samuel, John Cellier, Rémy Abouchi, Nacer STMicroelectronics Crolles France Université de Lyon CPE Lyon Institut des Nanotechnologies de Lyon Lyon France Université de Lyon CPE Lyon LIRIS Lyon France

ISBN: (纸本)9798350351927

Last decades have seen a lot of research on Analog Design Automation. The most recent approaches are based on Reinforcement Learning (RL). This paper describes a new learning strategy enhancing the most recent Proximal Policy optimization RL approach, applied to analog design. The method is compared to more classical heuristic approaches such as Ant Colony optimization, Particle Swarm optimization or Differential Evolution algorithm. This study is done using a gymnasium environment embedding a spice-like electrical simulator. The experiments are done under equivalent calculation conditions. The paper highlights convergence properties and demonstrates the RL ability to avoid local minimum traps. © 2024 IEEE.

关键词： Reinforcement learning

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Coupled radiative-electromagnetic-thermal modeling and multi-parameter optimization for enhancing heat transfer uniformity in radio frequency pulsed vacuum drying

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international COMMUNICATIONS IN HEAT AND MASS TRANSFER 2025年 165卷

作者： Lei, Dengwen Xu, Chao Liu, Yanhong Xie, Yongkang Zhang, Xiaoyu China Agr Univ Coll Engn POB 19417 Qinghua Donglu Beijing 100083 Peoples R China Tarim Univ Xinjiang Prod & Construct Corps XPCC Key Lab Utili Alaer 843300 Peoples R China Henan Acad Agr Sci Res Ctr Agr & Prod Proc Zhengzhou 450002 Peoples R China

In this study, the effects of tray shape, loading thickness, electrode gap, vacuum level, and vacuum pulsation ratio on the heating performance during radio frequency pulsed vacuum drying (RFPVD) were systematically investigated. First, based on the established RF heating model, the radiative heat transfer equation was coupled to improve the accuracy of heat transfer simulation under vacuum conditions. simulation results showed that the temperature uniformity index (TUI) in RF heating stage was reduced to 0.13 by suppressing the edge aggregation effect of the electric field with circular tray. Additionally, single-layer stacking and increased loading thickness effectively improved the heating rate;however, the resulting enhancement of edge aggregation resulted in the TUI increased to 0.31. When a loading thickness of 45 mm was applied, adjusting the electrode gap to 95 mm increased the heating rate and avoided the localized overheating during the heating stage. At a defined drying temperature, an appropriate vacuum level modulated the moisture evaporation rate to optimize the temperature distribution. The RFPVD experiments verified that ideal temperature distribution uniformity (TUI <0.112) and post-drying moisture content consistency (coefficient of variation<5 %) could be obtained using multi-parameter optimization guided by simulation results. This study provides a theoretical basis and process optimization strategy for improving heating uniformity in RFPVD drying of granular materials.

关键词： RF pulsed vacuum drying Heating uniformity Numerical simulation Multi-physics coupling radiative heat transfer

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Multi-objective topology optimization simulation study based on motor 3

Multi-objective topology optimization simulation study based...

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2023 3rd international conference on Computational modeling, simulation and Data Analysis, CMSDA 2023

作者： Li, Qiding Huang, Zhengping Li, Ketian Wang, Xiying Yu, Cheng Li, Bing Technology Center of GAC Component Co. Ltd. Guangzhou511400 China Department of Mechanical and Electrical Engineering Guangdong University of Technology Guangzhou511400 China

OptiStruct software is applied for structural optimization of the motor structure to solve the problem of resonance in a specific operating frequency range and reduce the motor operating noise. Comparing the experimental and simulated modal frequencies, a modified multi-objective topology optimization model is proposed to ensure the validity of the model, and a new optimization function is constructed to optimize the multi-objective topology of the motor housing. The results show that the geometric reconfiguration of the motor housing concerning the optimized model force transmission path achieves the effectiveness of reducing resonance noise. The multi-objective topology optimization model provides a feasible way to solve the motor-specific frequency resonance and operation noise problems. © Published under licence by IOP Publishing Ltd.

关键词： Housing

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EXPLOITING ACTIVE SUBSPACE FOR modeling UNCERTAINTY AND optimization IN FAN-SHAPED FILM COOLING simulation 69

EXPLOITING ACTIVE SUBSPACE FOR MODELING UNCERTAINTY AND OPTI...

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69th ASME Turbomachinery Technical conference and Exposition (ASME Turbo Expo) (GT)

作者： Cai, Feixue Zhou, Hua Yao, Min Ren, Zhuyin Tsinghua Univ Beijing Peoples R China

ISBN: (纸本)9780791887998

The numerical studies for film cooling performance have gained considerable interest for the development of advanced gas turbines and aero-engines. However, the accuracy of Reynolds-Averaged Navier-Stokes simulations is significantly influenced by the uncertainties associated with turbulence modeling closure coefficients. The traditional Monte Carlo methods for uncertainty quantification are computationally prohibitive as the cost of constructing an accurate response surface increases exponentially with the number of input parameters. The active subspace method, developed recently as a means of dimension reduction, incurs a moderate cost when dealing with high-dimensional uncertain inputs. In this study, the active subspace (AS) method is applied to quantify the modeling uncertainties related to SST turbulence modeling parameters in a fan-shaped film cooling simulation. The results reveal that the quantified modeling uncertainties exhibit distinct characteristics across different blowing ratios, and the response functions are constructed based on the primary control parameters. Subsequently, the turbulence model parameters are optimized to minimize the computational error based on the response functions. In the optimized test point, the average relative errors decrease to 1.3% and 0.3%, respectively, under blowing ratios of 0.5 and 2.5 after optimization. Furthermore, a set of unified model parameters is optimized and applied across different blowing ratios (0.5, 1.5, 2.5), resulting in average relative error of 4.3%, 3.7%, and 3.1%, respectively, demonstrating the advantages of the AS method for modeling uncertainty quantification and optimization in film cooling simulation.

关键词： Uncertainty Quantification Film Cooling Active Subspace Turbulence Model

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Theoretical modeling and Bio-inspired Trajectory optimization of A Multiple-locomotion Origami Robot

Theoretical Modeling and Bio-inspired Trajectory Optimizatio...

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2024 international conference on Intelligent Robots and Systems

作者： Zhu, Keqi Guo, Haotian Yu, Wei Nigatu, Hassen Li, Tong Dong, Ruihong Dong, Huixu Zhejiang Univ Robot Percept & Grasp Lab Grasp Lab Hangzhou 310058 Peoples R China Zhejiang Univ Robot Inst Hangzhou 310027 Peoples R China Zhejiang Univ Dept Sports Sci Hangzhou 310058 Peoples R China

ISBN: (纸本)9798350377712;9798350377705

Recent research on mobile robots has focused on increasing their adaptability to unpredictable and unstructured environments using soft materials and structures. However, the determination of key design parameters and control over these compliant robots are predominantly iterated through experiments, lacking a solid theoretical foundation. To improve their efficiency, this paper aims to provide mathematics modeling over two locomotion, crawling and swimming. Specifically, a dynamic model is first devised to reveal the influence of the contact surfaces' frictional coefficients on displacements in different motion phases. Besides, a swimming kinematics model is provided using coordinate transformation, based on which, we further develop an algorithm that systematically plans human-like swimming gaits, with maximum thrust obtained. The proposed algorithm is highly generalizable and has the potential to be applied in other soft robots with similar multiple joints. simulation experiments have been conducted to illustrate the effectiveness of the proposed modeling.

关键词： Microrobots

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