An Optimization Method of Gray Wolf Algorithm with Variable Weight

Abstract

The application of a variable weight gray wolf algorithm optimization method, including setting social class to act on the whole process of gray wolf population search and predation, and the gray wolf population surrounds the target during the search process, and surrounds the target at the center during the predation process; During the iterative search process, the positions of α gray wolves, β gray wolves and δ gray wolves with high social class are always the first, second and third closest to the target in the population, and the positions of each gray wolf in the population are changed from α gray to The variable weight function combination of wolf, β gray wolf and δ gray wolf is described, in which the weight w1 of α gray wolf position gradually decreases from 1 to 1 / 3, and the weights w2 and w3 of β and δ gray wolf gradually increase from 0 to 1 / 3, and use w1+w2+w3=1 and w1≥w2≥w3. Advantages: Significantly speeds up the search process and can complete optimization calculations faster.

Description

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

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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