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5th International Conference on Inventive Computation Technologies (ICICT)

作者： Li, Cheng Nan Chong Vocat Coll Sci & Technol Nanchong 637200 Sichuang Peoples R China

ISBN: (数字)9781665408370

ISBN: (纸本)9781665408387;9781665408370

optimization of the intelligent student educational intelligent cloud architecture based on computer topic generation algorithm is studied in the paper. There is no conflict between reverse proxy mode and packet filtering mode or ordinary proxy mode. These two modes can be used in firewall devices at the same time. The reverse proxy mode is used when the external network accesses the internal network. The forward proxy or packet filtering mode is used to reject other external access. Hence, for the designed model, this will be used as the cloud basis architecture. According to the regulatory cloud architecture design, its network can be divided into front-end service network and back-end resource high-speed synchronization network. This type of layered model is used to implement the intelligent student educational smart cloud architecture based on computer topic generation algorithm. Through the testing and implementation, the overall performance is presented.

关键词： optimization algorithm intelligent system cloud architecture computer topic generation smart education

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Research on the optimization Method of Visual Sensor Calibration Combining Convex Lens Imaging with the Bionic algorithm of Wolf Pack Predation

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SENSORS 2024年第18期24卷 5926页

作者： Wu, Qingdong Miao, Jijun Liu, Zhaohui Chang, Jiaxiu Qingdao Univ Technol Sch Civil Engn Qingdao 266520 Peoples R China Shandong Luqiao Grp Co Ltd Jinan 250014 Peoples R China Shandong Univ Sci & Technol Sch Transportat Qingdao 266590 Peoples R China

To improve the accuracy of camera calibration, a novel optimization method is proposed in this paper, which combines convex lens imaging with the bionic algorithm of Wolf Pack Predation (CLI-WPP). During the optimization process, the internal parameters and radial distortion parameters of the camera are regarded as the search targets of the bionic algorithm of Wolf Pack Predation, and the reprojection error of the calibration results is used as the fitness evaluation criterion of the bionic algorithm of Wolf Pack Predation. The goal of optimizing camera calibration parameters is achieved by iteratively searching for a solution that minimizes the fitness value. To overcome the drawback that the bionic algorithm of Wolf Pack Predation is prone to fall into local optimal, a reverse learning strategy based on convex lens imaging is introduced to transform the current optimal individual and generate a series of new individuals with potential better solutions that are different from the original individual, helping the algorithm out of the local optimum dilemma. The comparative experimental results show that the average reprojection errors of the simulated annealing algorithm, Zhang's calibration method, the sparrow search algorithm, the particle swarm optimization algorithm, bionic algorithm of Wolf Pack Predation, and the algorithm proposed in this paper (CLI-WPP) are 0.42986500, 0.28847656, 0.23543161, 0.219342495, 0.10637477, and 0.06615037, respectively. The results indicate that calibration accuracy, stability, and robustness are significantly improved with the optimization method based on the CLI-WPP, in comparison to the existing commonly used optimization algorithms.

关键词： camera calibration optimization algorithm CLI-WPP reverse learning strategy reprojection error

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Application of optimization algorithms to adaptive motion control for repetitive process

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ISA TRANSACTIONS 2021年 115卷 192-205页

作者： Szczepanski, Rafal Tarczewski, Tomasz Grzesiak, Lech M. Nicolaus Copernicus Univ Dept Automat & Measurement Syst Grudziadzka 5 PL-87100 Torun Poland Warsaw Univ Technol Inst Control & Ind Elect Koszykowa 75 PL-00662 Warsaw Poland

The application of optimization algorithms to adaptive motion control is proposed in this paper. In order to provide optimal system response, optimization algorithm is used as adjustment mechanism of controller coefficients. Most of optimization algorithms are not able to work in continuous optimization mode and with non-constant search space (i.e. dataset). For this reason, the introduction of a novel approach, Adaptive Procedure for optimization algorithms (APOA), that allows to apply most of optimization algorithms to adaptation process seems to be necessary. Such an algorithm is innovative, due to its universality in terms of applied optimization algorithm. Its application allows to obtain optimal motion control in modern electric drives. The proposed APOA is presented together with the novel desired-response adaptive system (DRAS) approach for repetitive processes. This solution provides unchanged system response regardless of plant parameters variation or external disturbances. The developed adaptive approach based on optimization algorithm is implemented in permanent magnet synchronous motor (PMSM) drive to adapt state feedback speed controller during moment of inertia variations. Since the proposed DRAS is model-free approach, the adaptation procedure is immune to issues related to plant parameters mismatch. The obtained results prove that proposed adaptive speed controller for PMSM assures desired system response regardless of the moment of inertia variation. (C) 2021 ISA. Published by Elsevier Ltd. All rights reserved.

关键词： Adaptive controller optimization algorithm Repetitive process State feedback controller PMSM

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optimization of Discontinuous Polymer Flooding Processes for Offshore Oilfields Using a Novel PSO-ICA algorithm

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ENERGIES 2024年第8期17卷 1971页

作者： Tang, Engao Zhang, Jian Jin, Yi Li, Lezhong Xia, Anlong Zhu, Bo Sun, Xiaofei State Key Lab Offshore Oil & Gas Exploitat Beijing 100010 Peoples R China CNOOC Res Inst Ltd Beijing 100028 Peoples R China China Univ Petr East China Sch Petr Engn Qingdao 266580 Peoples R China

Recently, discontinuous polymer flooding has been proposed and successfully applied in some offshore oilfields. The performance of discontinuous polymer flooding depends on various operational parameters, such as injection timing, polymer concentrations, and crosslinker concentrations of four types of chemical slugs. Because the number of the operational parameters are large and they are nonlinearly related, the traditional reservoir numerical simulation might not simultaneously obtain the optimal results of these operational parameters. In this study, to simulate the discontinuous polymer flooding processes, a simulation model was built using a commercial reservoir simulator (CMG STARS), in which the mechanisms of the four types of chemical slugs were considered, such as polymer viscosification, adsorption, and degradation. Then, a PSO-ICA algorithm was developed by using the PSO algorithm to improve the exploration ability of the ICA algorithm. The codes were written with MATLAB and linked to CMG STARS to perform optimization processes. Finally, the PSO-ICA algorithm was compared with the ICA and PSO algorithms on benchmark functions to verify its reliability and applied to optimize a discontinuous polymer flooding process in a typical offshore oilfield in Bohai Bay, China. The results showed that the developed PSO-ICA algorithm had lower iteration numbers, higher optimization accuracy, and faster convergence rate than these of PSO and ICA, indicating that it was an effective method for optimizing the operational parameters of discontinuous polymer flooding processes. Compared to the continuous polymer flooding, the discontinuous polymer flooding had a higher oil production rate, a lower water cut, and a lower residual oil saturation. The net present value of the optimal scheme of discontinuous polymer flooding reached 7.49 x 108 $, which is an increase of 6% over that of the scheme of continuous polymer flooding. More research including selecting more reasonable

关键词： discontinuous polymer flooding optimization algorithm imperialist competitive algorithm particle swarm optimization offshore oilfields reservoir simulation gel polymer

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Self-adaptive algorithm used for spectrum optimization in trichromatic white light-emitting diodes 7

Self-adaptive algorithm used for spectrum optimization in tr...

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7th Asia Pacific Conference on Optics Manufacture (APCOM)

作者： Xiao, Hua Guangdong Ocean Univ Sch Elect & Informat Engn Zhanjiang 524088 Peoples R China Guangdong Ocean Univ Shenzhen Inst Shenzhen 518108 Peoples R China

ISBN: (数字)9781510652095

ISBN: (纸本)9781510652095;9781510652088

A self-adaptive algorithm is proposed in this study to optimize optical parameters, such as correlated color temperature (CCT), color rendering index (CRI), and synthesized spectra, in a trichromatic white light-emitting diode (WLED) system. The key contributions of this algorithm include automatically finding target CCT values in different seasons and time periods, and optimizing the CRI values simultaneously under various CCT values. Comparing with the conventionally used algorithm for spectrum optimization, the realization of target values and running time of the proposed algorithm behaves excellent, which are significant in realization of real-time and automatic control in intelligent lighting.

关键词： Spectrum optimization light-emitting diodes optimization algorithm

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Gate-Based Variational Quantum algorithm for Truss Structure Size optimization Problem

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AIAA JOURNAL 2024年第12期62卷 4824-4833页

作者： Xu, Yusheng Wang, Xiaojun Wang, Zhenghuan Beihang Univ Natl Key Lab Strength & Struct Integr Inst Solid Mech Sch Aeronaut Sci & Engn Beijing 100191 Peoples R China

Quantum computing has become a pivotal innovation in computational science, offering novel avenues for tackling the increasingly complex and high-dimensional optimization challenges inherent in engineering design. This paradigm shift is particularly pertinent in the domain of structural optimization, where the intricate interplay of design variables and constraints necessitates advanced computational strategies. In this vein, the gate-based variational quantum algorithm utilizes quantum superposition and entanglement to improve search efficiency in large solution spaces. This paper delves into the gate-based variational quantum algorithm for the discrete variable truss structure size optimization problem. By reformulating this optimization challenge into a quadratic, unconstrained binary optimization framework, we bridge the gap between the discrete nature of engineering optimization tasks and the quantum computational paradigm. A detailed algorithm is outlined, encompassing the translation of the truss optimization problem into the quantum problem, the initialization and iterative evolution of a quantum circuit tailored to this problem, and the integration of classical optimization techniques for parameter tuning. The proposed approach demonstrates the feasibility and potential of quantum computing to transform engineering design and optimization, with numerical experiments validating the effectiveness of the method and paving the way for future explorations in quantum-assisted engineering optimizations.

关键词： Trusses Computing and Informatics Multidisciplinary Design optimization optimization algorithm Evolutionary algorithm Annealing Structural optimization Quantum Computing

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Building Information Model and optimization algorithms for Supporting Campus Facility Maintenance Management: A Case Study of Maintaining Water Dispensers

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KSCE JOURNAL OF CIVIL ENGINEERING 2021年第1期25卷 12-27页

作者： Yang, Li-Hsi Xu, Liuya Wang, Wei-Chih Wang, Shih-Hsu Natl Chiao Tung Univ Dept Civil Engn Hsinchu 300 Taiwan ROC Mil Acad Dept Civil Engn Kaohsiung 800 Taiwan

Effective management for the maintenance of water dispensers dispersed throughout an academic campus is essential for ensuring the quality of drinking water. Conventionally, water dispenser maintenance is conducted approximately bimonthly or when a passive fault notice is obtained. This maintenance frequency usually results in ineffective allocation of maintenance staff and poor maintenance quality. This study proposes a new model for campus facility maintenance management that enables maintenance staff to maintain water dispensers at the optimal time and select the shortest maintenance path. The proposed model was developed using the maintenance information of the Construction Operations Building Information Exchange obtained from building information models of multiple buildings, water dispenser operation data from a water dispenser monitoring module, and an optimization algorithm developed by integrating Dijkstra's algorithm, simulated annealing, and a genetic algorithm to identify the shortest maintenance path. The proposed model was tested on a campus in Northern Taiwan. The application results revealed that maintenance strategies could be systematically established to determine the optimal time to dispatch maintenance staff based on the lowest unit cost criterion;this approach was also used to identify the shortest maintenance path through multiple buildings.

关键词： Campus facility maintenance management Water dispenser Building information model optimization algorithm Shortest maintenance path

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Designing thermal demultiplexer: Splitting phonons by negative mass and genetic algorithm optimization

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Chinese Physics B 2021年第3期30卷 36-40页

作者： Yu-Tao Tan Lu-Qin Wang Zi Wang Jiebin Peng Jie Ren Center for Phononics and Thermal Energy Science China-EU Joint Laboratory on NanophononicsShanghai Key Laboratory of Special Artificial Microstructure Materials and TechnologySchool of Physics Science and EngineeringTongji UniversityShanghai 200092China Shanghai Research Institute for Intelligent Autonomous Systems Tongji UniversityShanghai 200092China

We propose the concept of thermal demultiplexer, which can split the heat flux in different frequency ranges intodifferent directions. We demonstrate this device concept in a honeycomb lattice with dangling atoms. From the view ofeffective negative mass, we give a qualitative explanation of how the dangling atoms change the original transport *** first design a two-mass configuration thermal demultiplexer, and find that the heat flux can flow into different ports incorresponding frequency ranges roughly. Then, to improve the performance, we choose the suitable masses of danglingatoms and optimize the four-mass configuration with genetic algorithm. Finally, we give out the optimal configuration witha remarkable effect. Our study finds a way to selectively split spectrum-resolved heat to different ports as phonon splitter,which would provide a new means to manipulate phonons and heat, and to guide the design of phononic thermal devices inthe future.

关键词： phonon transport thermal demultiplexer optimization algorithm

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optimization of the Shunt Currents and Pressure Losses of a VRFB by Applying a Discrete PSO algorithm

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BATTERIES-BASEL 2024年第7期10卷 257页

作者： Ispas-Gil, Decebal Aitor Zulueta, Ekaitz Olarte, Javier Zulueta, Asier Fernandez-Gamiz, Unai Univ Basque Country UPV EHU Syst Engn & Automat Control Dept Nieves Cano 12 Vitoria 01006 Spain Basque Res & Technol Alliance BRTA Ctr Cooperat Res Alternat Energies CIC EnergiGUNE Alava Technol PkAlbert Einstein 48 Vitoria 01510 Spain Univ Basque Country UPV EHU Nucl Engn & Fluid Mech Dept Nieves Cano 12 Vitoria 01006 Spain

This paper presents an extensive study on the electrochemical, shunt currents, and hydraulic modeling of a vanadium redox flow battery of m stacks and n cells per stack. The shunt currents model of the battery has been developed through the use of Kirchoff's laws, taking into account the different design cases that can occur and enumerating the equations of nodes and meshes specifying them so that the software implementation can be performed in a direct way. The hydraulic model has been developed by numerical methods. These models are put to work simultaneously in order to simulate the behavior of a VRFB battery during charging and discharging, obtaining the pressure losses and shunt currents that occur in the battery. Using these models, and by using a PSO-type optimization algorithm, specifically designed for discrete variables, the battery design is optimized in order to minimize the round-trip efficiency losses due to pressure losses and shunt currents. In the optimization of the battery design, value is given to the number of stacks in which the total number of cells in the battery is distributed and the dimensions of the piping relative to both the stacks and the cells.

关键词： VRFB round-trip efficiency optimization algorithm discrete PSO

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A novel strategy for the crossarm length optimization of PSSCs based on multi-dimensional global optimization algorithms

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ENGINEERING STRUCTURES 2021年 238卷 112238-112238页

作者： Li, Pengcheng Wang, Hao Chongqing Univ Sch Civil Engn Chongqing 400045 Peoples R China Shandong Jianzhu Univ Sch Civil Engn Jinan 250101 Shandong Peoples R China

Prestressed stayed steel columns (PSSCs) offer a lightweight alternative for the design of slender compression columns. The stability of compression columns can be significantly enhanced by introducing crossarms. Previous research on this subject has primarily focused on load-carrying capacity estimation or analyses of the influencing factors of PSSCs. Thus, investigations of the design optimization of PSSCs remain scant. This work proposes a novel strategy for crossarm length optimization of PSSCs based on multi-dimensional global optimization algorithms. A multi-population genetic algorithm is introduced in the optimization process. The proposed optimization algorithm was demonstrated to be efficient and accurate in terms of determining the optimal crossarm length of PSSCs.

关键词： PSSC Crossarm length Buckling load optimization algorithm Multi-population genetic algorithm

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