This study aims to address the lack of scientific and systematic decision systems in the field of Human Resources Management (HRM). By designing a HRM decision support system based on Multi-Agent systems and reinforce...
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ISBN:
(纸本)9798400718212
This study aims to address the lack of scientific and systematic decision systems in the field of Human Resources Management (HRM). By designing a HRM decision support system based on Multi-Agent systems and reinforcement learning algorithms, effective tools are provided to HR managers to assist them in making more scientific and systematic HRM decisions. The research analyzes the current issues in HRM practices and proposes comprehensive solutions. Through the optimization of Multi-Agent reinforcement learning algorithms, experiments validate the effectiveness of the system in supporting decision-making in HRM. The results demonstrate that the improved algorithms outperform traditional methods, confirming the efficacy of the system's design and optimization. This HRM decision support system, based on Multi-Agent systems and reinforcement learning algorithms, holds the potential to drive organizational development and enhance the efficiency of HRM. However, further research and practical application are needed to refine and optimize the system to adapt to the constantly evolving HRM environment.
Extracting effective information from massive data and mining potentially valuable relationships has become a hot topic in the current research field. Web crawler has the function of automatically grasping web page in...
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Due to complex data and changing environments, sports managers face many challenges when making decisions. In order to provide scientific and accurate decision-making support, a sports management decision-making suppo...
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In recent years, the rise of electric vehicles (EVs) has brought Active Sound design (ASD) to the forefront as a crucial methodology for enhancing both acoustic quality and the overall driving experience. To address t...
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Vocational College students39; applied skills can make them quickly put into social production, is an important force for social progress, and practice training for them is an important way for them to develop their...
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In order to address the limitations of the CameraLink interface infrared detector on the FPGA side, it was proposed that a wider clock frequency CameraLink decoding read-write display system be implemented. This would...
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A 3D printing system based on ATMega2560 chip is proposed. The system uses A4988 as the power to realize the control of stepping motor and extrusion device. The JAKAZu7 collaborative manipulator was chosen as its impl...
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With the in-depth development of blockchain, Internet, 5G and other technologies, major universities in China have also paid attention to the application of student management systems. Relevant researchers have also m...
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Intelligent car is a kind of wheeled robot, which has high research and application value because of its small size, full functions and wide application. Combining Android mobile phone, mobile robot and remote control...
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In response to the significant shortcomings of the D5000 intelligent grid dispatch system in supporting the electricity market and the inadequacy of the current primary-secondary dispatch system to meet the demands of...
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ISBN:
(纸本)9798350375145;9798350375138
In response to the significant shortcomings of the D5000 intelligent grid dispatch system in supporting the electricity market and the inadequacy of the current primary-secondary dispatch system to meet the demands of the electricity spot market, this paper proposes a parallel-based dual-active scheduling system architecture. Firstly, a comprehensive investigation is conducted on key functionalities such as management and control, experimentation, and evaluation within the spot electricity dispatch system. Subsequently, the practical application of the parallel system is implemented in the electricity spot trading dispatch system of a municipal-level power grid. Ultimately, the dual-active scheduling system for the municipal power grid is successfully established. This solution effectively addresses core challenges including synchronization issues between the two systems, consistency verification, and dual-active switching, thus enhancing the operational stability and switching efficiency of the dual-active scheduling system.
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