A Method for Determining the Cell Structure of Metamaterials

Abstract

The invention discloses a method for determining a metamaterial unit structure. The method for determining the metamaterial unit structure comprises the steps of design variable defining, setup initialization, individual assessment, crossover and mutation operations and end condition judgment. According to the method for determining the metamaterial unit structure, through the way, in two iterative processes, firstly, the first n2 design variables which are high in degree of adaptability are selected, and then the first n3 design variables are selected from the first n2 design variables as initial design variables to conduct next iteration, wherein the first n3 design variables are arranged according to complexity from low to high. Through the way, on one hand, the complexity of treatment work is lowered, on the other hand, the influence of a super individual to population evolution is reduced, and thus the occurrence of the locally optimal solution of premature convergence is avoided, globally optimal solution can be better convergent, and working efficiency and global searching ability are improved.

Description

technical field [0001] The invention relates to the field of metamaterial design, in particular to a method for determining the unit structure of a metamaterial by using a genetic algorithm. Background technique [0002] At present, metamaterials are usually designed by calculating the characteristics of electromagnetic wave response. When studying the response of materials to electromagnetic waves, the response of any structure in the material whose scale is much smaller than the wavelength of electromagnetic waves to electromagnetic waves can also be used by the overall parameters of the material, such as the dielectric constant ε and magnetic permeability μ to describe. By designing the structure of each point of the material, the dielectric constant and magnetic permeability of each point of the material are the same or different, so that the overall dielectric constant and magnetic permeability of the material are arranged in a certain order, and the regularly arranged ...

AI Technical Summary

Problems solved by technology

As the number of iterations increases, each individual in the final population will be close to individuals with high fitness and good genes, thus falling into local optimum and unable to find the global optimal solution

It can be seen that using the above existing processing methods tends to make the processing results limited to local optimum and waste resources

In order to make more reasonable use of resources, it is necessary to test and analyze the optimal results from a large amount of test data, resulting in increased computing workload and low efficiency

[0005] Therefore, it is necessary to provide a method for determining the unit structure of metamaterials to solve the problems of complex calculation work, low efficiency and easy to fall into local optimal solutions existing in the prior art

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