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An improved particle swarm algorithm for optimization of implicit curved surface porous structure

A technology for improving particle swarms and implicit surfaces, applied in calculations, calculation models, special data processing applications, etc., can solve problems such as poor iteration performance, and achieve the effect of improving particle position update formulas

Active Publication Date: 2019-01-04
ZHEJIANG UNIV
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  • Claims
  • Application Information

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Problems solved by technology

[0007] In order to solve the problem of porous structure optimization of implicit surface under given conditions, and improve the problem of poor iterative performance of standard particle swarm optimization algorithm in the presence of domain constraints, the invention provides an implicit surface optimization based on improved particle swarm optimization algorithm Porous structure optimization method

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  • An improved particle swarm algorithm for optimization of implicit curved surface porous structure
  • An improved particle swarm algorithm for optimization of implicit curved surface porous structure
  • An improved particle swarm algorithm for optimization of implicit curved surface porous structure

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Embodiment

[0067] Typical implementation examples of the present invention are as follows:

[0068] Enter the implicit surface I-WP expression f(x,y,z)=2[cos(0.25πx)cos(0.25πy)+cos(0.25πy)cos(0.25πz)+cos(0.25πz)cos(0.25 πx)]-[cos(0.5πx)+cos(0.5πy)+cos(0.5πz)]=c, c∈[-0.6,0.6], x∈[0,8], y∈[0,8] , z∈[0,8], the wall thickness of the porous solid is 0.1mm, the particle swarm size is 30, and the maximum number of iterations is 30. Carry out particle swarm algorithm iteration on Intel Xeon 3.4GHz processor, the improved particle swarm algorithm proposed by the present invention and the standard particle swarm algorithm iteration result of different speeds are as follows image 3 As shown, the improved particle swarm optimization algorithm obtained more ideal results within 30 iterations, and the optimal position c opt = 0.00236185. Different speed settings will lead to significantly different search performance of the standard particle swarm algorithm. The improved particle swarm algorithm p...

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Abstract

The invention discloses an implicit curved surface porous structure optimization method based on an improved particle swarm optimization algorithm, which comprises the following steps of: inputting animplicit curved surface function expression to be optimized, porous solid wall thickness, particle swarm size and maximum iteration number; initializing particles, each particle containing a positionterm; calculating the fitness of each particle in the iteration; updating the local optimal position and the global optimal position in the particle swarm; according to the current position, the local optimal position and the global optimal position of the particles, the update position of each particle being calculated; when the mutation condition is satisfied, the particle update position beingmutated; until the maximum number of iterations is reached, the optimal position being output to generate the optimal implicit curved surface porous structure with optimal mechanical properties. By modifying the particle position moving rule, the method avoids the shortcomings of the standard particle swarm optimization algorithm under the restriction of the domain, and improves the local optimaland global optimal searching ability. The method is stable and reliable, especially suitable for parameter optimization of an implicit curved surface porous structure.

Description

technical field [0001] The invention relates to the field of computer-aided design and optimization, in particular to an implicit surface porous structure optimization method based on an improved particle swarm algorithm. Background technique [0002] An implicit surface is a mathematical surface with a definite function expression, also known as an isosurface. Different from parametric surfaces or discrete mesh surfaces widely used in the industrial field, implicit surfaces can represent 3D surfaces with any complex topology. In addition, complex Boolean operations can be quickly calculated on implicit surface functions. After geometric operations, it can still be conveniently expressed as an implicit function form. Due to these important advantages, more and more complex structures are constructed using implicit surfaces. [0003] Porous structure is a geometric structure with complex topology. According to different classification standards, it can be divided into open-...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/00
CPCG06N3/006G06F30/17
Inventor 冯嘉炜傅建中林志伟商策
Owner ZHEJIANG UNIV
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