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Spring self-weight optimization design method based on improved moth-flame algorithm

A technology of moths flying to the fire and optimizing design, which is applied in the field of spring design, can solve the problems of spring self-heavyness and low solution accuracy, and achieve the effect of optimizing self-weight design

Pending Publication Date: 2019-08-20
FUZHOU UNIV
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Problems solved by technology

As a result, the accuracy of the solution found by the original moth-to-fire algorithm is low, and the calculated spring self-weight is relatively large

Method used

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  • Spring self-weight optimization design method based on improved moth-flame algorithm
  • Spring self-weight optimization design method based on improved moth-flame algorithm
  • Spring self-weight optimization design method based on improved moth-flame algorithm

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Embodiment Construction

[0050] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0051] Please refer to figure 1 , the present invention provides a spring self-weight optimization design method based on the improved moth-to-fire algorithm, comprising the following steps:

[0052] Step S1: build the mathematical model with spring minimum self-weight as optimization target;

[0053] Step S2: according to the algorithm of moths going to the fire and in combination with Sine chaos theory and Cauchy variation, construct an improved algorithm of moths going to the fire;

[0054] Step S3: adopt the improved moth-flame-fighting algorithm to calculate the minimum self-weight problem of the spring, and obtain the optimal solution;

[0055] Step S4: Input the optimal solution into the mathematical model to obtain the optimal spring self-weight.

[0056] In this example, refer to figure 2 and image 3 , the mathematical model of the self-...

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Abstract

The invention relates to a spring self-weight optimization design method based on an improved moth-flame algorithm. The method comprises the following steps of S1, constructing a mathematical model with the minimum self-weight of a spring as an optimization target; S2, constructing an improved moth-flame algorithm according to the moth-flame algorithm in combination with a Sine chaos theory and Cauchy variation; S3, calculating the minimum self-weight problem of the spring by adopting the improved moth-flame algorithm to obtain an optimal scheme; and S4, inputting the optimal scheme into the mathematical model to obtain the optimal spring self-weight. The self-weight design of the spring can be effectively optimized.

Description

technical field [0001] The invention relates to the field of spring design, and relates to a spring self-weight optimization design method based on an improved moth-to-fire algorithm. Background technique [0002] Regarding the optimization design of spring self-weight, there are many well-known algorithms such as Gravitational Search Algorithm (GSA), Multi-Verse Optimizer (MVO), and Evolution Strategy (ES) applied to the spring. The self-weight is minimized, but the self-weight design effect of the spring needs to be improved. [0003] Moth-Flame Optimization (MFO) is a new meta-heuristic algorithm proposed by the Australian team - MirjaliliSeyedali et al. in 2015 to imitate the behavior of moths going to flame. This algorithm simulates the movement model of moths flying around the flame, and mathematically models an intelligent algorithm that can be used for parameter optimization. The moths to the fire algorithm can solve the optimization problem better, but there are s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/00
CPCG06N3/006G06F30/17G06F30/20
Inventor 董晨叶尹李涵郭文忠陈震亦
Owner FUZHOU UNIV
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