Double-chain quantum genetic algorithm for structural optimization design

Abstract

The invention discloses a double-chain quantum genetic algorithm for structural optimization design. The design result obtained through the method better meets the actual requirement, and the engineering applicability is higher. Firstly, selection of an initial scheme of structure optimization is improved on the basis of a superposition state thought in quantum computing, and dependence of a traditional method on an initial value is avoided. A quantum genetic algorithm mechanism is introduced in the structure optimization process (size / topology), the search range of a solution space is expanded, and therefore the optimal configuration more suitable for actual engineering requirements is obtained. The method has the advantages that a new thought of a double-chain quantum genetic algorithm is introduced into structural optimization design; on one hand, the dependence of a traditional gradient optimization method on an initial value is overcome, on the other hand, the search range of theunderstanding space is expanded, compared with a common evolutionary algorithm, the method is not prone to falling into local optimum, higher global optimization capacity is achieved, and a new tool and means are provided for the structure optimization design problem in the field of aircraft design.

Description

technical field [0001] The invention relates to the technical field of structure optimization design, in particular to the optimization problem of large-scale design parameters in the process of aircraft structure size optimization / topology optimization design, and realizes the optimal structure design based on the idea of ​​quantum optimization. Background technique [0002] In the optimization design of the aircraft structure, in order to design a reasonable structural form and size under the design conditions (such as strength, stiffness, material selection and manufacturing process requirements, etc.), the optimization of the structure is initially achieved by means of mathematical optimization methods. In recent years, with the introduction of high-performance computers and new optimization ideas, evolutionary algorithms based on bionics (genetic algorithm, ant colony algorithm, particle swarm algorithm, etc.) have been widely used in the optimal design of aircraft struc...

AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is: to overcome the deficiencies of the prior art, and to propose a better structural optimization design method based on the double-chain quantum genetic algorithm. The obtained optimization results do not depend on the initial value while ensuring efficiency. It is also not easy to fall into local optimum, which is more in line with actual needs and has stronger engineering applicability

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