Multimedia music education based on adaptive genetic algorithm and heterogeneous processors

2021 ◽  
Author(s):  
Bing Zhang
Keyword(s):  
Genetic Algorithm ◽  
Music Education ◽  
Adaptive Genetic Algorithm ◽  
Heterogeneous Processors

scholarly journals Design of Multimedia Vocal Music Education Data Integration System Based on Adaptive Genetic Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Hao-Lan Zhang ◽  
Peng-Jiang Yu
Keyword(s):  
Genetic Algorithm ◽  
Data Integration ◽  
Music Education ◽  
Vocal Music ◽  
Adaptive Genetic Algorithm ◽  
Integration System ◽  
Application Performance ◽  
Education Data ◽  
Data Integration System ◽  
Data Source

In order to solve the problems of low accuracy of data integration results, low integration efficiency, and easy confusion between different types of data in traditional methods, a multimedia vocal education data integration system based on adaptive genetic algorithm was designed. Specifically, the designed system is divided into three parts: data source management module, system administrator module, and database management module. The synchronized multimedia vocal education data are first processed by the synchronous multimedia vocal education data processing and then integrated by an adaptive genetic algorithm. The experimental results show that the longest data transmission time of the system is 2.3 s, which is much lower than that of the traditional method, and the accuracy of the integration result is higher, and the probability of data integration confusion is lower, which all indicate that the designed system has better application performance.

Multi-Objective Fleet Assignment Problem Based on Self-Adaptive Genetic Algorithm

2013 ◽  
Vol 694-697 ◽  
pp. 2895-2900 ◽  
Author(s):  
Xiao Yang ◽  
Bo Jiang
Keyword(s):  
Genetic Algorithm ◽  
Carbon Emissions ◽  
Assignment Problem ◽  
Network Capacity ◽  
Total Carbon ◽  
Adaptive Genetic Algorithm ◽  
Multi Objective ◽  
Route Network ◽  
Assignment Model ◽  
Key Factor

Since the beginning of the twenty-first century, energy conservation has become the theme of the development of the world. China government set the emissions-reduction targets in various industries on the 12th Five-Year Plan. And the airlines were committed to reduce their carbon emissions. From an operational perspective, the airline model assignment problem is a key factor of the total carbon emissions on the entire route network. But the traditional aircraft assignment models approach did not account for this purpose to reduce carbon emissions. By constructing the multi-objective optimization models consider carbon emissions assignment model using a genetic algorithm, numerical example shows that the model is able to meet all aspects demand which include meeting route network capacity demand, minimizing operating costs and reducing total aircraft fleet carbon emissions.

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