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Engineering design optimization method and device based on genetic algorithm and proxy model

A surrogate model and engineering design technology, applied in the field of simulation optimization, can solve problems such as large amount of calculation, reduce engineering practicability, and consume a lot of time, so as to reduce the optimization cycle, improve optimization efficiency and optimization effect, and reduce the amount of calculation.

Pending Publication Date: 2022-01-14
SYSWARE TECH CO LTD
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Problems solved by technology

However, the calculation of establishing and optimizing the proxy model is large, and it will take a lot of time, sometimes weeks or months. Such a design cycle greatly reduces the engineering practicability and limits the application field of engineering optimization methods

Method used

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  • Engineering design optimization method and device based on genetic algorithm and proxy model
  • Engineering design optimization method and device based on genetic algorithm and proxy model
  • Engineering design optimization method and device based on genetic algorithm and proxy model

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Embodiment Construction

[0032] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0033] It should be noted that, in the case of no conflict, the following embodiments and the features in the embodiments can be combined with each other; and, based on the embodiments in the application, those of ordinary skill in the art obtained without creative work All other embodiments belong to the protection scope of this application.

[0034] It is noted that the following describes various aspects of the embodiments that are within the scope of the appended claims. It should be apparent that the aspects described herein may be embodied in a wide variety of forms and that any specific structure and / or function described herein is illustrative only. Based on the present application one skilled in the art should appreciate that an aspect described herein may be implemented independently of any other aspects and that two or more of these aspects...

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Abstract

The invention discloses an engineering design optimization method and device based on a genetic algorithm and an agent model. The method comprises the following steps: constructing a target agent model corresponding to a target function and a constraint agent model corresponding to a constraint function based on a sample data set; using a genetic algorithm to solve the target agent model, wherein mutation operation of the genetic algorithm comprises the steps of acquiring the fitness of each chromosome in the population Sn, and according to the maximum value and the minimum value in the fitness, the fitness of each chromosome and the value of each design variable in each chromosome, determining a mutation disturbance value corresponding to each design variable; adding a corresponding variation disturbance value on each design variable to obtain a varied chromosome; if the simulation termination condition is not met, newly adding a sample and updating the target agent model and the constraint agent model; and if the simulation termination condition is met, taking an optimal solution obtained by solving as an optimization result of the design variable and outputting the optimization result.

Description

technical field [0001] The present application relates to the technical field of simulation optimization, in particular to an engineering design optimization method and device based on a genetic algorithm and a proxy model. Background technique [0002] For engineering optimization problems, the initial sample point data of the design variables are generated by the experimental design method, the real calculation of the sample point is completed, and the proxy model is established based on the sample point; then the optimal result based on the proxy model is found, and the optimal result is actually calculated ; If the accuracy of the calculation results does not meet the requirements, re-establish the proxy model based on the newly added sample points for optimization until the optimal result output by the proxy model meets the accuracy requirements, and take the optimal result output at this time as the simulation optimization result of the design variable . However, the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06N3/12G06F111/04G06F111/10
CPCG06F30/27G06N3/126G06F2111/04G06F2111/10
Inventor 陈科甲
Owner SYSWARE TECH CO LTD
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