Method for SUV (Sport Utility Vehicle) product family gene evolution based on genetic algorithm

A genetic algorithm and product family technology, applied in the field of gene evolution of SUV product families based on genetic algorithms, can solve the problems of large differences among series models, insufficient understanding of differentiated design, lack of computers, etc., and achieve strong market significance

Inactive Publication Date: 2013-09-11
ZHEJIANG UNIV
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AI Technical Summary

Problems solved by technology

[0007] At present, the design of product families is generally led by industrial designers, relying on personal subjective aesthetics and experience, and lacking computer support. The product family design scheme cannot meet the diverse needs of consumers
If not properly planned, these will lead to exc

Method used

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  • Method for SUV (Sport Utility Vehicle) product family gene evolution based on genetic algorithm
  • Method for SUV (Sport Utility Vehicle) product family gene evolution based on genetic algorithm
  • Method for SUV (Sport Utility Vehicle) product family gene evolution based on genetic algorithm

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Experimental program
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Embodiment

[0064] 1) Extract and express SUV shape genes;

[0065] 1.1) Use the method of shape culture to express the personalization gene of the SUV shape, that is, the profile line. The side profile of the SUV is composed of two smooth Bezier curves, such as figure 1 As shown, curve one extends from the front of the car to the end of the hood, including 3 hard points and 2 control points; curve two starts from the bottom of the windshield and extends through the roof to the rear, including 4 hard points and 4 control points . Use HP (Hard Point) to represent hard points, and CP (Control Point) to represent control points.

[0066] The selection of SUV samples is based on the sales, popularity and reputation of the 60 most popular SUV models selected from the Chinese auto market. Through the analytic hierarchy process, SUV models with similar appearances are eliminated, and the data obtained from the analytic hierarchy process is imported into the SPSS software to perform clustering Throu...

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Abstract

The invention discloses a method for SUV (Sport Utility Vehicle) product family gene evolution based on genetic algorithm. The method includes: through abstracting and expressing SUV appearance individualized genes and SUV appearance successional genes, building SUV product lines with differential SUV designed styles and consumer-preference-driven evolution function according to different consumer preferences, generating optimal individualized gene progenies in Matlab based on the genetic algorithm, realizing evolution of the SUV appearance individualized genes, adding SUV appearance inheritance genes to the evolutional genes, realizing overall application of SUV product family appearance genes, generating a series of product design schemes, and building product family images with continuation and differentiation.

Description

Technical field [0001] The invention relates to the gene evolution of the SUV product family, in particular to a method for the gene evolution of the SUV product family based on a genetic algorithm. Background technique [0002] China's automobile industry is experiencing an unprecedented period of rapid development. In 2011, the annual sales of Chinese automobiles exceeded 18 million, making it the world's largest automobile market. Among them, the production and sales of SUV (Sport Utility Vehicle) models have grown at a phenomenal rate. extensive attention. [0003] With the ever-increasing homogeneity of functions and technologies, the appearance design of models has gradually become a decisive factor influencing consumers’ decision-making. Major auto brands are also shaping their own brand image by giving products unique design features, making product appearance design Has brand unity, that is, family. [0004] With the improvement of living standards, people’s individual ne...

Claims

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Application Information

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IPC IPC(8): G06N3/12
Inventor 罗仕鉴李文杰
Owner ZHEJIANG UNIV
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