Title: Optimisation method for product design based on improved genetic algorithm

Authors: Yonghong Shao

Addresses: School of Creative Design, Yiwu Industrial and Commercial Vocational and Technical College, Yiwu, Zhejiang, 322000, China

Abstract: To optimise the satisfaction of product design applications and reduce production costs, a product design optimisation method based on improved genetic algorithm is proposed in this study. This method is first based on principal component analysis to determine the product shape image. Then, based on this, a multi-objective optimisation model for product shape is constructed, and the objective function design is completed. Finally, a dissimilarity operator is introduced to improve the genetic algorithm. The improved genetic algorithm is applied to solve the objective function and achieve product shape design optimisation. The experiment was conducted on automobiles as the research object, and the experimental results showed that the application of the proposed method can improve user satisfaction with product shape and appearance design, enhance the strength of the car's external structure, reduce product production costs, and is superior to the comparative method. The application effect is good.

Keywords: genetic algorithm; product design; appearance; multi-objective optimisation design.

DOI: 10.1504/IJMTM.2025.145935

International Journal of Manufacturing Technology and Management, 2025 Vol.39 No.3/4/5, pp.273 - 286

Received: 27 Dec 2023
Accepted: 03 Jun 2024
Published online: 30 Apr 2025 *

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