Extended translation Latin hypercube test design method based on sudoku grouping

Abstract

The invention provides an extended translation Latin hypercube test design method based on sudoku grouping, and belongs to the field of computer simulation test design. The method comprises the following steps: averagely grouping factors, and generating an extended translation Latin hypercube design according to the number of each group of factors, wherein the factor number is upwards rounded andthen a square number is taken to generate a sudoku of the square number grid; selecting rows / columns of sudoku front grids, deleting redundant factor numbers, and averagely grouping according to the factor grouping number; outputting sampling results from each group of factors in sequence, serially combining each group of results in each row / column, and rearranging the results in an ascending order according to factor numbers; and arranging the sampling results corresponding to the rows / columns of the selected grids in parallel, and generating a final extended translation Latin hypercube sampling space based on sudoku grouping. According to the method, the problems that the extended translation Latin hypercube design is long in time consumption, too many samples are generated and the effect is poor are solved, so that the simulation test time is effectively shortened, and the test result is more representative.

Description

technical field [0001] The invention belongs to the field of simulation test design, and relates to a test sample space design method, in particular to an extended translation Latin hypercube test design method based on Sudoku grouping. Background technique [0002] Under the condition of weapon system confrontation, different weapon system equipment data and tactical methods will affect the final confrontation effect. It is necessary to select different parameter combinations for these influencing factors and conduct multiple experiments to obtain the optimal weapon system technical indicators and tactical approach. However, it takes a lot of manpower and material resources to conduct multiple real-scenario experiments, so a global understanding of the problem is often obtained through the running results of a large number of simulation samples. Although computer hardware capabilities have been increasing rapidly, it is unrealistic to execute all possible situations in a s...

AI Technical Summary

Problems solved by technology

[0005] The weapon system countermeasure model needs to comprehensively consider the influence of multiple factors (the number of factors>>6), and the extended translation Latin hypercube design cannot obtain certain levels of factors, so the test results are not representative, and a method that can quickly generate approximate optimal The design method of Uradin hypercube provides a representative sample space for weapon system combat simulation test

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