Mechanical parameter optimization design method based on adaptive reverse differential evolution

Abstract

The invention relates to a mechanical parameter optimization design method based on adaptive reverse differential evolution. Aiming at the defects of poor universality and low precision of a traditional method when being used for solving the problem of the mechanical parameter optimization method with non-linearity, discontinuity, non-differentiability and constraint, the invention provides the mechanical parameter optimization design method based on the adaptive reverse differential evolution. According to the method, the mechanical parameter optimization design problem is attributed into the minimum optimization problem with the constraint; and meanwhile, the properties such as the ergodicity and randomness of the chaotic motion and the sensitiveness for an initial value are fused into a general reverse learning strategy, and an adaptive reverse learning strategy is designed and is integrated into a differential evolution algorithm. According to the method, a current population is converted into an adaptive reverse population and optimum resolutions are simultaneously searched from the current population and the adaptive reverse population, and thus the convergence rate and the precision of a traditional differential evolution algorithm for solving the problem of the mechanical parameter optimization method with non-linearity, discontinuity, non-differentiability and constraint are improved.

Description

technical field [0001] The invention relates to a mechanical parameter optimization design method, in particular to a mechanical parameter optimization design method based on adaptive reverse differential evolution. Background technique [0002] Mechanical parameter optimization design is an important step in mechanical design. It refers to searching for a set of mechanical design parameter values ​​under given conditions after a mechanical design scheme is determined, so that the designed machinery is the most reasonable, Reliable and economical, etc., to achieve optimal performance. Although the actual mechanical engineering design problems are complex and diverse, and each has its own differences, the mechanical optimization design problem can be reduced to an optimization problem in the end. Therefore, the quality of the mechanical parameter optimization design method often determines the quality of the final mechanical design results. [0003] The traditional mechanic...

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Problems solved by technology

[0005] The present invention mainly solves the technical problems existing in the prior art; aiming at the disadvantages of poor universality and low precision in solving nonlinear, discontinuous, non-conductive, and constrained mechanical parameter optimization design problems of traditional methods, a method based on The mechanical parameter optimization design method of adaptive reverse differential evolution, which unifies the mechanical parameter optimization design problem into the minimum value optimization problem with constraints, and at the same time takes the ergodicity, randomness and sensitivity to the initial value of chaotic motion into account. Integrate into the general reverse learning strategy, design an adaptive reverse learning strategy, and integrate it into the differential evolution algorithm

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