Design of Mathematical Model Optimization System Based on Multidimensional Data Field Visualization Algorithm
The multidimensional data field visualization algorithm can better help people understand the relationships and patterns between data by mapping data to different dimensions and attributes in the visualization space.A four-dimensional visualization algo-rithm was introduced to optimize the traction power supply system,and the optimal location of traction substations and section posts was obtained by continuously adjusting the length of the power supply arm.The results show that compared to particle swarm optimiza-tion and multidimensional scale transformation methods,the optimized solution set distribution using the four-dimensional visualiza-tion algorithm is more uniform and diverse.Meanwhile,the IGD value of the four-dimensional visualization algorithm is significantly lower than the other two algorithms,with a minimum IGD value of only 6.002 1x 104.In addition,the overall power loss of the opti-mized design scheme based on four-dimensional visualization algorithm is only 4.76MW.The four-dimensional visualization algo-rithm can effectively optimize the design of traction power supply systems,reduce power losses,and make the design scheme more op-timized and feasible.It provides effective guidance for the design and optimization of traction power supply systems.
multidimensional data fieldfour dimensional visualizationmathematical modeltraction power supply system
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