Assembly, the key to the entire product production, has a direct impact on product quality. The parts of various products are optimized and matched according to the prescribed rules by using computer technology, and the best matching scheme is finally obtained. This method can effectively ensure the assembly accuracy of the parts and reduce the residual rate of the parts. This paper proposes an optimized grouping and matching method based on genetic algorithm for the selection of complex mechanical products, and redefines the structure of dyeing, and provides technical support for the intelligent development of mechanical manufacturing.

Xu Wei. Research on the Selection and Matching of Complex Mechanical Products Based on Genetic Algorithms. Academic Journal of Engineering and Technology Science (2022) Vol. 5, Issue 1: 4-9. https://doi.org/10.25236/AJETS.2022.050102.

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