This study explores the innovative method of integrating simulation technology and genetic algorithm for industrial product design optimization, and is dedicated to solving the key problems of insufficient efficiency and quality bottleneck in the current industrial design field. By carefully constructing a systematic design optimization methodology system, we not only break through the inherent limitations of traditional design methods, but also provide a set of highly practical technical paths and solutions. The research process adopts a composite method combining model construction, genetic algorithm optimization and validation feedback, and innovatively introduces the tree hierarchy for functional decomposition and genetic coding of products. Meanwhile, a set of comprehensive and objective evaluation system of comprehensive adaptability is constructed by combining the quality function unfolding technology. Experiments have proved the effectiveness of this method in practical application, with the optimized design cycle greatly compressed to 28 days, the core performance index of the product improved by 18.6%, the consumption of resources reduced by 12.7%-19.5%, and the user satisfaction increased by 23.6%. This study provides a new theoretical framework and methodological tools for the whole field of industrial product design, which can help enterprises to significantly enhance product competitiveness in the increasingly competitive market environment, and realize the double enhancement of technological innovation and economic benefits.
