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Improved strength Pareto evolutionary algorithm for product appearance multi-objective optimization design

A technology of multi-objective optimization and evolutionary algorithm, applied in the field of intelligent product shape design, can solve the problems of SPEA2's inability to make full use of the search space and lack of convergence

Inactive Publication Date: 2020-01-21
NANCHANG UNIV
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Problems solved by technology

However, SPEA2 still has insufficient convergence [6] , and due to the fixed evolution mechanism, SPEA2 cannot make full use of the search space and easily falls into local optimum [7] And other issues

Method used

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  • Improved strength Pareto evolutionary algorithm for product appearance multi-objective optimization design
  • Improved strength Pareto evolutionary algorithm for product appearance multi-objective optimization design

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Embodiment Construction

[0101] The invention discloses an improved strength Pareto evolution algorithm for multi-objective optimization design of product shape, which includes two parts: design analysis and multi-objective optimization design of product shape, and the data of the two parts both include product shape data and product perceptual image data , using the ellipse Fourier analysis technology to obtain the principal component score data of the product outline, and using the perceptual image analysis technology to obtain the mean data of the perceptual image evaluation of the target adjective;

[0102] The algorithm steps of the multi-objective optimization design part of the product shape are to first use the genetic algorithm to optimize the neural network GABP technology to establish a nonlinear mapping network between the principal component score and the mean value of the perceptual image evaluation of the target adjective, which will be further used as The fitness function of the core mu...

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Abstract

The invention discloses an improved strength Pareto evolutionary algorithm for product appearance multi-objective optimization design. The method comprises design analysis and product appearance multi-objective optimization design, product appearance data and product perceptual image data are included, an elliptic Fourier analysis technology is adopted to obtain product appearance contour principal component score data, and a perceptual image analysis technology is adopted to obtain target adjective word perceptual image evaluation mean value data. The product appearance multi-objective optimization design part algorithm comprises: establishing a nonlinear mapping network between the principal component score and the perceptual image evaluation mean value of the target adjective by using agenetic algorithm optimization neural network technology; proposing a correction operator by utilizing the consistency correlation between the principal component score obtained by the elliptic Fourier analysis technology and the perceptual imagery evaluation mean value of the target adjective; combining the operator with an improved crossover operator and an improved adaptive mutation operator to finally form the algorithm disclosed by the invention, and providing an effective tool for developing multi-objective optimization design of the product appearance.

Description

technical field [0001] The invention relates to the field of intelligent design of product shape, in particular to an improved strength Pareto evolution algorithm for multi-objective optimization design of product shape, which can meet the multi-objective emotional needs of consumers for product shape (if necessary). An intelligent design generation algorithm for a car with a luxurious, dynamic and elegant appearance). Background technique [0002] The abundance and homogeneity of products means that manufacturers face increasing competition. How to better meet the increasingly diverse emotional needs of consumers through product appearance is the key to product design, and it is also an inevitable requirement for manufacturers to win the competition. Modern perceptual engineering has demonstrated an extremely close relationship between the emotional needs of consumers and the physical properties of products such as function and form. As a design method that can automatica...

Claims

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Application Information

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IPC IPC(8): G06F30/20G06F30/15G06F17/16G06F17/14G06K9/62G06N3/08
CPCG06F17/14G06F17/16G06N3/086G06F18/2135
Inventor 王增刘卫东杨明朗
Owner NANCHANG UNIV
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