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Free-form surface structure multi-working-condition Pareto solution set optimization method based on changing ecological niche

A surface structure and niche technology, applied in genetic models, genetic rules, complex mathematical operations, etc., can solve problems such as lack of practicability and inability to consider various working conditions, and achieve the goal of improving calculation speed, search speed and accuracy Effect

Active Publication Date: 2020-07-28
HOHAI UNIV
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Problems solved by technology

However, most of the existing free-form surface shape optimization methods are aimed at a single working condition, and cannot consider multiple working conditions, so they lack practicability

Method used

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  • Free-form surface structure multi-working-condition Pareto solution set optimization method based on changing ecological niche
  • Free-form surface structure multi-working-condition Pareto solution set optimization method based on changing ecological niche
  • Free-form surface structure multi-working-condition Pareto solution set optimization method based on changing ecological niche

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Embodiment Construction

[0029] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0030] A multi-condition Pareto solution set optimization method for free-form surface structures based on changing niches. The specific steps are:

[0031] Step 1, input loads corresponding to various working conditions;

[0032] Step 2, setting the optimization goal, setting the objective function under various working conditions;

[0033] Step 3, arrange NURBS control points, set the value range of control point coordinates and NURBS parameters;

[0034] Step 4, start the genetic algorithm for changing niches to solve the objective function in step 2, the process is as follows:

[0035] (1) Randomly generate the initial generation of individuals to form the initial population;

[0036] (2) According to the control point coordinate information carried by each individual chromosome, establish the NURBS surface corresponding to each individual; ...

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Abstract

The invention discloses a free-form surface structure multi-working-condition Pareto solution set optimization method based on a changing ecological niche. The method comprises the steps: 1, inputtingloads corresponding to multiple working conditions; 2, setting an optimization target and a target function under various working conditions; 3, arranging NURBS control points, and setting the coordinate value range of the control points and NURBS parameters; 4, starting a change niche genetic algorithm to solve the target function in the step 2; and step 5, outputting a Pareto solution set for adesigner to select and use. According to the method, under complex multi-working-condition conditions, the niche genetic algorithm is used for optimizing the shape of the free-form surface to obtaina Pareto optimal solution set, so that a designer can select a satisfactory structural form from the Pareto optimal solution set according to actual working conditions of a project. According to the method, the ecological niche radius is changed along with the change of the sum of fitness values of all individuals in the population by setting the ecological niche change function, so that the search speed and precision are improved.

Description

technical field [0001] The invention relates to a multi-working-condition Pareto solution set optimization method for a free-form surface structure based on a changing niche. Background technique [0002] In recent years, free-form surface structures have been widely used in the field of construction engineering. Different from traditional regular structures, shape optimization is a necessary means for the design of free-form surface structures. However, most of the existing free-form surface shape optimization methods are aimed at a single working condition, and cannot consider multiple working conditions, so they lack practicability. Contents of the invention [0003] The present invention proposes a Pareto solution set optimization method based on a free-form surface structure with multiple working conditions based on a variable niche. The method combines the proposed variable-niche genetic algorithm with the free-form surface NURBS fitting technology, and obtains it t...

Claims

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Application Information

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IPC IPC(8): G06F30/13G06F17/15G06N3/12
CPCG06F17/15G06N3/126
Inventor 伞冰冰江海波李剑鸿邱冶马云龙
Owner HOHAI UNIV
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