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Optimal design method of hydraulic support based on mean-difference evolution

A hydraulic support, optimization design technology, applied in the direction of constraint-based CAD, design optimization/simulation, calculation, etc., can solve the problems of low optimization design efficiency, slow convergence speed, etc., to improve efficiency, speed up, and enhance search performance Effect

Active Publication Date: 2022-07-01
JIANGXI UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

To a certain extent, it overcomes the disadvantages of slow convergence speed and low optimization design efficiency of the traditional differential evolution algorithm when optimizing the design of the hydraulic support. The invention can improve the efficiency of the optimal design of the hydraulic support.

Method used

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  • Optimal design method of hydraulic support based on mean-difference evolution
  • Optimal design method of hydraulic support based on mean-difference evolution
  • Optimal design method of hydraulic support based on mean-difference evolution

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Embodiment

[0052] This embodiment is based on the literature (Li Yafei, Li Bingwen, Zhang Xi. Hyperstatic hydraulic support roof based on genetic algorithm

[0053] Optimal design of beams[J].Optimal design of top beams of statically indeterminate hydraulic supports in Coal Mining Machinery, 2015,36(4):11-13)

[0054] accounting problem as an example, combined with figure 1 The flow chart shown, the specific implementation steps of the present invention are as follows:

[0055] Step 1, according to the mechanical characteristics of the hydraulic support to be optimized, construct the minimized optimization objective function and constraint conditions:

[0056] Objective function: Min f(X)=2×1640×x 1 +6×x 2 ×x 3 ;

[0057] Restrictions:

[0058] Where f(X) is the optimization objective function to minimize, X=[x 1 x 2 x 3 ] is the optimized design variable, g 1 (X) and g 2 (X) are two constraints, and then determine the number of design variables to be optimized for the hydraul...

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Abstract

The invention discloses an optimal design method for a hydraulic support based on mean difference evolution. The present invention firstly establishes a model of the minimized optimization target of the hydraulic support to be optimized, and then uses the mean difference evolution algorithm to solve the optimized design variables of the hydraulic support. In the mean-differential evolution algorithm, the population is first initialized, and the fitness value of the population is calculated, and then the mean-differential evolution operation is performed iteratively to generate new individuals, and excellent individuals are selected to enter the new generation of populations. The invention utilizes the optimal individual and mean value information in the population to speed up the convergence speed and can improve the efficiency of the optimal design of the hydraulic support.

Description

technical field [0001] The invention relates to the field of hydraulic support optimization design, in particular to a hydraulic support optimization design method based on mean difference evolution. Background technique [0002] Hydraulic supports are widely used in mining engineering practice. The pros and cons of the optimal design of the hydraulic support determine its use effect in engineering practice. In order to optimize the design of the hydraulic support, researchers usually first establish the minimum optimization design objective function and constraints according to the mechanical characteristics of the hydraulic support, and then use the optimization method to search for its design variables. However, the objective function of hydraulic support minimization optimization design in practical engineering often presents the characteristics of multi-peak, discontinuous, non-derivative and so on, which makes the traditional method based on the gradient of objective ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/17G06F30/27G06N3/00G06F111/04
CPCG06N3/006G06F30/17
Inventor 郭肇禄胡丽鄢化彪尹宝勇刘小生
Owner JIANGXI UNIV OF SCI & TECH
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