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In combat network, the rational use of information communication support force is related to the efficiency of information flow of the combat network and has a profound impact on the generation of the operational capability. Aiming at the optimization of OODA loop, the requirement of information communication support force in combat network is studied. Firstly, the evaluation standard of OODA operation efficiency is determined, and the network is optimized by using the genetic algorithm based on the characteristics of combat network; According to the degree and clustering of each node in the optimized combat network, the information and communication support force requirements of combat entities and network overall is analyzed. Experiments show that the information and communication support force requirements of combat entities are not only related to their importance, but also affected by entity types. The information and communication support force should meet the construction requirements of the combat network including three types of subnets, including two types of star networks and one type of mesh networks, and the three types of subnets shall be connected in an orderly manner. The above conclusions provide theoretical support for the construction of high-capability combat networks. [ABSTRACT FROM AUTHOR]

Copyright of Computer Measurement & Control is the property of Magazine Agency of Computer Measurement & Control and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Electric Power Automation Equipment / Dianli Zidonghua Shebei is the property of Electric Power Automation Equipment Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Copyright of Journal of Vibration, Measurement & Diagnosis is the property of Nanjing Hangkong Daxue and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Food Safety & Quality is the property of Journal of Food Safety & Quality Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Transactions of Nanjing University of Aeronautics & Astronautics is the property of Editorial Department of Journal of Nanjing University of Aeronautics & Astronautics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Electric Machines & Control / Dianji Yu Kongzhi Xuebao is the property of Electric Machines & Control and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Fly Ash Comprehensive Utilization is the property of Hebei Fly Ash Comprehensive Utilization Magazine Co., Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Engineering for Thermal Energy & Power / Reneng Dongli Gongcheng is the property of Journal of Engineering for Thermal Energy & Power and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In the field of hydraulic engineering, the design of pumping stations played an essential role in ensuring the efficient and reliable operation of water supply systems. However, due to various factors such as asymmetric pump configurations and non-straight alignment of the forebay and inlet pool center lines, the flow patterns in the forebay could be poor, which could lead to problems such as cavitation and reduced pump efficiency. In order to improve the unfavorable flow patterns within the pump station's inlet structure and enhance the efficiency of the pump operation, this study focuses on optimizing the structural design parameters of the forebay's sill using computational fluid dynamics and the BPNN-GA (back propagation neural network-genetic algorithm) model. To facilitate the genetic algorithm's fitness calculation, a comprehensive evaluation index F for the flow patterns in the forebay is proposed based on the uniformity of axial velocity distribution and velocity-weighted average angle. By taking the comprehensive evaluation index F as the objective parameter, the BPNN is optimized using the genetic algorithm, leading to the determination of the optimal sill design parameters, which are then compared and analyzed against the numerically simulated structures from the orthogonal experimental design.The research findings indicate that, under the operation of pumps No.1, No. 2, and No.4, compared to the optimal design from the orthogonal experimental design, the uniformity of axial velocity distribution of No.1 pump inlet flow increased by 16.58 percentage points, and the velocityweighted average angle increased by 4.66°. For No.2 pump, the uniformity of axial velocity distribution increased by 0.49 percentage points, while the velocity-weighted average angle decreased by 2.81°. As for No.4 pump, the uniformity of axial velocity distribution improved by 8 percentage points, and the velocity-weighted average angle increased by 7.81°, resulting in a comprehensive evaluation index F of 1.16, indicating a significant improvement in the flow patterns of the forebay.The optimization of the pump station's forebay sill parameters using the BPNN-GA algorithm overcomes the drawback of traditional methods being trapped in local optima. It enables the identification of the optimal sill design parameters for the uniformity of axial velocity distribution and velocity-weighted average angle within the required design range, providing reference for the application of computational intelligence in optimizing hydraulic design in pump stations. [ABSTRACT FROM AUTHOR]

Copyright of Machine Tool & Hydraulics is the property of Guangzhou Mechanical Engineering Research Institute (GMERI) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Machine Tool & Hydraulics is the property of Guangzhou Mechanical Engineering Research Institute (GMERI) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Machine Tool & Hydraulics is the property of Guangzhou Mechanical Engineering Research Institute (GMERI) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

To solve the problem of high operation cost of mobile charging platform, the mixed integer non-linear programming model with the minimum sum of vehicle start-up cost, driving cost and penalty cost of violating the time window of emergency service points was established, considering the constraints of emergency service points time window, flow balance and charging vehicles mileage limitation, the mobile charging vehicles path optimization on half-open multi depots was used to investigate by branch and bound method and genetic algorithm. The results show that mobile charging vehicles path optimization problem on half-open multi depots is solved 10 times, and the average deviation gap between the solution obtained in each run and the optimal solution in 10 times is 1. 22%, which illustrates the genetic algorithm has good stability. Compared with the independent service mode of single depot, the half-open multi depots joint service can provide more routing choices for mobile charging vehicles, reduce the mileage of charging vehicles and the operating cost of the platform. Compared with the centralized distribution of customer points, the cost saving effect of mobile charging platform is more significant under the random distribution and mixed distribution of customer points. [ABSTRACT FROM AUTHOR]

Aiming at the problem that traditional proportional integral (PI) control was difficult to select parameters with better control performance, taking the air rudder servo system as the research object, a control method of reinforcement learning-PI based on genetic algorithm optimization was proposed. Firstly, the mathematical model of the air rudder servo system was established. Then, the initial parameters of PI controller were optimized by genetic algorithm. The current PI controller was adjusted in real time using the deep deterministic policy gradient (DDPG) algorithm to realize the position command control of the air rudder servo system. Finally, the effect of the method used in the air rudder servo system was verified in Simulink through simulation analysis. The results show that the improved algorithm has certain online stability when the parameters are perturbed. In the case of no load, the required adjustment time is less than that of genetic algorithm-PI, DDPG-PI and traditional PI algorithm, and it is increased by at least 20%. At the same time, in the case of load, the fluctuation amplitude of the improved algorithm is at least 15% better than that of the other three methods compared with the time to return to steady state after the end of load, which proves the effectiveness of the method used in the air rudder servo system. [ABSTRACT FROM AUTHOR]

In the sound source localization system, the first problem to be solved is to use a smaller number of microphones and design an array configuration with better performance in a limited plane range. This study proposes an array optimization method based on genetic algorithm to solve the problem. The design of the fitness objective function of the genetic algorithm comprehensively considers the array beam pattern, the width of the main lobe, the level of the side lobe and the number of microphones. By improving the genetic algorithm, the genetic algorithm can be realized in the application of microphone array optimization. The simulation results show that: compared with the traditional cross-shaped and rectangular planar regular arrays, the optimized array configuration can reduce the number of microphones used while ensuring the performance of the array. Compared with the particle swarm optimization algorithm, the array optimized by the improved genetic algorithm has better performance. [ABSTRACT FROM AUTHOR]

In order to solve the problem that the driver is difficult to monitor and input complex during the running process, this paper proposed and implemented a driver fuzzing tool DrgenFuzzer based on the fitness and input constraint model. The tool utilized the kernel tracing technology combined with the static analysis of binary programs to realize the information monitoring of the driver operation, analyzed the driver interface parameters, designed a sample constraint scheme, proposed a new fitness calculation scheme and a crossover mutation scheme. Experiments show that compared with the commonly used kernel fuzzing tools, the test success rate of samples generated by this tool after the input constraint model is more than 10 times that of other tools, and the quality of the generated samples is higher. This tool performed a fuzzy test on the driver and exploits the null pointer reference vulnerability in the i2c driver. DrgenFuzzer can effectively guide and standardize sample generation, improve the success rate and operating efficiency of sample testing, and enhance the vulnerability mining ability. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Chongqing University of Technology (Natural Science) is the property of Chongqing University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Chongqing University of Technology (Natural Science) is the property of Chongqing University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Copyright of Journal of Shanghai Jiao Tong University (1006-2467) is the property of Journal of Shanghai Jiao Tong University Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Ordnance Equipment Engineering is the property of Chongqing University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Machine Tool & Hydraulics is the property of Guangzhou Mechanical Engineering Research Institute (GMERI) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Machine Tool & Hydraulics is the property of Guangzhou Mechanical Engineering Research Institute (GMERI) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Tunnel Construction / Suidao Jianshe (Zhong-Yingwen Ban) is the property of Tunnel Construction Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Railway Science & Engineering is the property of Journal of Railway Science & Engineering Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Geodesy & Geodynamics (1671-5942) is the property of Editorial Board Journal of Geodesy & Geodynamics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Southeast University / Dongnan Daxue Xuebao is the property of Journal of Southeast University Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Ordnance Industry Automation is the property of Editorial Board for Ordnance Industry Automation and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Engineering Mechanics / Gongcheng Lixue is the property of Engineering Mechanics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Engineering Mechanics / Gongcheng Lixue is the property of Engineering Mechanics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Mechanical Strength / Jixie Qiangdu is the property of Zhengzhou Research Institute of Mechanical Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Metal Working (1674-165X) is the property of Metal Working Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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In order to reduce the increasing adverse impacts on the life and traffic of residents in the region during the implementation of traffic microcycle, minimizing road connectivity, minimizing travel time of slow traffic, minimizing environmental pollution and minimizing road saturation were taken as optimization objectives. The constraints of arterial road saturation, average speed limit of slow traffic and density of slow road network were considered. A two-layer programming model of multi-objective regional traffic path optimization was established. Genetic algorithm was used to solve the problem, roulette operator and non-uniform mutation operator were used to operate, and the optimal organization of microcirculation road network was obtained. Through the analysis of the example, compared with the road network before the implementation of microcirculation, the road network saturation decreases obviously after the implementation of microcirculation, which reduces the impact on residents and the destruction of ecological environment in the street area, and a reasonable street traffic microcirculation network is obtained. [ABSTRACT FROM AUTHOR]

The sealed air tank can effectively destroy the pipeline vacuum and prevent the occurrence of bridging water hammer. Aiming at the issues of high optimization threshold and high optimization cost of the traditional sealed air tank, an air tank parameter optimization method based on meta-model theory was proposed. The method used the water hammer calculation software HAMMER as the source hydraulic simulation model, modelled the source simulation model by means of a data-driven neural network, and connected a genetic algorithm to find the optimization of air tank parameters. The results show that: the neural network is a good substitute for the source simulation model, which greatly reduces the modeling cost; the results of the genetic algorithm operation show that the maximum pressure of the pipeline after optimization based on the maximum safety is reduced compared with the original design, and the volume of the air tank after optimization based on the economy is greatly reduced compared with the original design which has greatly improved the economy. [ABSTRACT FROM AUTHOR]

Compaction quality evaluation is one of the key technologies of dam intelligent construction, which has an important impact on the safety and stability of dam body. However, there is no consensus on its evaluation method at present. In this paper, based on the Artash concrete face rockfill dam in Xinjiang and combined with the results of field test, the BP neural network algorithm based on genetic algorithm and particle swarm optimization (GA-PSO-BP) was proposed. The accuracy and superiority of the model were proved by comparing with BP model, GA-BP model and PSO-BP model. The result shows that the GA-PSO-BP model, proposed by the paper, has faster convergence speed and better performance. And, the BP neural network compaction quality evaluation model, based on GA-PSO hybrid optimization, has relatively higher accuracy, which can be used to evaluate the compaction quality of Xinjiang Artash concrete face rockfill dam under similar working conditions. [ABSTRACT FROM AUTHOR]

When using an intelligent optimization algorithm to identify structural damage, the actual damage location is usually assumed to be consistent with the division form of finite element model elements. In order to study the influence on the recognition effect when there is a difference between them, a new damage identification method was proposed. The selection, crossover, and mutation operators of the traditional genetic algorithm were improved, and the catastrophe and neighborhood search mechanism was introduced. Through a project case, several independent repeated calculations were carried out for different damage conditions, and the stability and convergence speed of the algorithm was analyzed. In addition, the effects of noise, the number of measuring points, and train speed on the recognition results were also discussed. The results show that even if the damage location is different from the element division form of the finite element model, the proposed method can locate the damage location accurately, but it will affect the quantitative results to a certain extent, and the convergence speed of this method is fast. The computational efficiency is higher than that of the traditional primary identification method. [ABSTRACT FROM AUTHOR]

According to the lack of sea detection research and the high complexity of genetic algorithm（GA） based on actual terrain data in radar network deployment optimization, this paper carries out the research on seaside radar deployment optimization with the digital elevation model（DEM） data and genetic algorithm. Based on the given positions and seaside radar detection model, the proposed algorithm can greatly reduce the searching space of GA and improve the solving speed. Simulation results show that, our algorithm can obtain almost the same optimal results compared with the exhausted searching method, while enjoying obvious advantage in speeding with the increase of deployment scale. [ABSTRACT FROM AUTHOR]

Aiming at the problem of numerical solution of a class of fractional differential equations, a new method of optimizing Chebyshev neural network by genetic algorithm is proposed based on Chebyshev neural network. The feasibility and effectiveness of the method are verified by two examples. The results show that compared with the existing numerical methods, the numerical solution of the differential equation calculated by the improved Chebyshev neural network method is closer to the accurate solution and the error is smaller. The research conclusion provides a new idea for solving similar problems in fractional differential equations. [ABSTRACT FROM AUTHOR]

In view of the lack of effective optimization design theory based on structural performance for cable dome structures, a quantitative evaluation method of structural reliability based on nonlinear characteristics of cable domes from the perspective of reliability was proposed, and the influence law of element cross section on structural reliability was analyzed through a Geiger-type cable dome structure model. On this basis, genetic algorithm was used to explore the section optimization design method based on structural reliability without increasing the structural quality. Following this, a cable layout optimization scheme was proposed based on the optimization concept that aims to enhance structural redundancy. Finally, the section optimization design of the cable dome structure under the new cable layout scheme was performed to identify the structural form and quality layout with the most reliable performance. The research revealed that the variations of cross sections of different types of elements had generated different effects on structural reliability. The structural reliability was enhanced from 0.728 123 to 0.891 355 with an optimization rate of 22.4% on the condition that the structural quality should not be increased. Meantime, the structural reliability was improved from 0.728 123 to 0.862 487 with an optimization rate of 18.5% with the cable layout optimization scheme. The further optimization of the section was performed on the aforementioned basis, and the overall structural reliability was further improved from 0.862 487 to 0.997 676 with an optimization rate of 15.7%. Therefore, the reliability-based nonlinear reliability evaluation method, section optimization and cable layout optimization design of cable dome structure proposed in this paper had significant theoretical research and engineering application value. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Chongqing University of Technology (Natural Science) is the property of Chongqing University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Plastics Science & Technology / Suliao Ke-Ji is the property of Plastics Science & Technology Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Copyright of Machine Tool & Hydraulics is the property of Guangzhou Mechanical Engineering Research Institute (GMERI) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Engineering Management / Gongcheng Guanli Xuebao is the property of Journal of Engineering Management Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Chinese Journal of Computational Mechanics / Jisuan Lixue Xuebao is the property of Chinese Journal of Computational Mechanics Editorial Office, Dalian University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)