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Layered optimization method based on immune particle swarm optimization-zigzag method of truss structure
The invention discloses a layered optimization method based on an immune particle swarm optimization-zigzag method of a truss structure. The method is different from a general layered method in parallel and a general total space optimizing method, and adopts inner-outer nesting layered optimization, the size of an inner layer is optimized by a zigzag method, a one-to-one mapping relationship is formed between each kind of given shapes and the lightest mass of the inner layer, and a one-to-one mapping relationship is formed between each kind of the given shapes and the optimal section of the inner layer; the size of an outer layer is optimized by an immune particle swarm method, and a shape variable space is searched on the basis of the formed mapping relationships of the inner layer, so that a final optimized result is obtained. Through the adoption of the layered optimization method disclosed by the invention, a coupling relationship between two kinds of variables, such as a shape(a node coordinate) and the size, is favorably treated, the loss of a global optimal solution is avoided, besides a space range is effectively reduced, the searching efficiency is improved, and the layered optimization method has certain superiority. The layered optimization method disclosed by the invention can be applied for optimizing the shapes and the sizes of various truss structures.
Layered optimization method based on immune particle swarm optimization-zigzag method of truss structure
The invention discloses a layered optimization method based on an immune particle swarm optimization-zigzag method of a truss structure. The method is different from a general layered method in parallel and a general total space optimizing method, and adopts inner-outer nesting layered optimization, the size of an inner layer is optimized by a zigzag method, a one-to-one mapping relationship is formed between each kind of given shapes and the lightest mass of the inner layer, and a one-to-one mapping relationship is formed between each kind of the given shapes and the optimal section of the inner layer; the size of an outer layer is optimized by an immune particle swarm method, and a shape variable space is searched on the basis of the formed mapping relationships of the inner layer, so that a final optimized result is obtained. Through the adoption of the layered optimization method disclosed by the invention, a coupling relationship between two kinds of variables, such as a shape(a node coordinate) and the size, is favorably treated, the loss of a global optimal solution is avoided, besides a space range is effectively reduced, the searching efficiency is improved, and the layered optimization method has certain superiority. The layered optimization method disclosed by the invention can be applied for optimizing the shapes and the sizes of various truss structures.
Layered optimization method based on immune particle swarm optimization-zigzag method of truss structure
LU JINYU (Autor:in) / SHEN SHENG (Autor:in) / NIU CHANG (Autor:in) / YANG ZHAN (Autor:in)
04.11.2015
Patent
Elektronische Ressource
Englisch
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