Variable weight grey wolf algorithm optimization method and application

Abstract

Disclosed are a variable weight grey wolf algorithm optimization method and an application. According to the method, social classes are set and act on the whole search and predation processes of a grey wolf population, and the grey wolf population surrounds a target in the search process and surrounds the target in the center in the predation process; and in the iterative search process, the positions of an alpha grey wolf, a beta grey wolf and a delta grey wolf with high social classes in the population are firstly, secondly and thirdly close to the target all the time, and in the iterative process, the positions of the grey wolfs in the population are described by combination of variable weight functions of the alpha grey wolf, the beta grey wolf and the delta grey wolf, wherein the weight w1 of the position of the alpha grey wolf is gradually reduced to 1 / 3 from 1, the weight w2 of the beta grey wolf and the weight w3 of the delta grey wolf are gradually increased to 1 / 3 from 0, and the use of w1, w2 and w3 meets the requirements that the sum of w1, w2 and w3 is equal to 1, w1 is greater than or equal to w2, and w2 is greater than or equal to w3. The method has the advantages that the search process is remarkably accelerated and the optimization calculation can be finished more quickly.

Description

technical field [0001] The invention relates to a method for optimizing a truss structure, in particular to a method for optimizing a gray wolf algorithm with variable weights. Background technique [0002] The truss structure is a common building structure, which is often used in public buildings such as large-span factories, exhibition halls, gymnasiums and bridges, and is also the most common construction method for housing roofs. Since the truss structure is usually composed of a large number of steel rods, and the rod structure is complex, it is difficult to obtain the cross-sectional size of the optimal truss structure in the form of theoretical calculation in engineering design. At present, the computer numerical optimization calculation method is generally used to determine the optimal The cross-sectional size is used to complete the rational design of the truss structure, which can maximize the use of the strength of the material, reduce the construction quality, an...

AI Technical Summary

Problems solved by technology

[0005] Although the basic gray wolf algorithm introduces the social division of labor and classification system of the gray wolf population, in the process of searching and predation, α gray wolf, β gray wolf and δ gray wolf are in the same position, which fails to fully reveal the social division of labor and classification It plays a prominent role in optimization calculations, and there is still room for improvement in optimization search capabilities, and it can still be improved in the application of truss structure design

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