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Optimisation method for product design based on improved genetic algorithm

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  • Yonghong Shao

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.

Suggested Citation

  • Yonghong Shao, 2025. "Optimisation method for product design based on improved genetic algorithm," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 39(3/4/5), pages 273-286.
    • Handle: RePEc:ids:ijmtma:v:39:y:2025:i:3/4/5:p:273-286
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