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- W4386956832 abstract "Abstract The purpose of exploring the application of computer-aided design technology in industrial product design is to realize the diversification of industrial product design and meet the personalized customization needs of customers. Starting from computer-aided technology, this paper illustrates the optimization of CAD design by using a genetic algorithm and constructs a bipolar progressive interactive genetic algorithm using bipolar progressive ranking and fuzzy fitness jointly. Genetic algorithm genotypes in CAD process product design are defined, and a comparative evaluation experimental analysis of industrial product design is performed with the AR-IGA algorithm. Regarding the number of iterations, the average number of iterations for the AR-IGA algorithm to complete the color-matching design of process products among ten testers was 9.34, which was 36.42% lower than that of the TIGA algorithm. The average evaluation elapsed time of the AR-IGA algorithm was 246.9s, which was 24.12% less than the average evaluation elapsed time of the TIGA algorithm. This shows that computer-aided technology optimized by genetic algorithms can effectively improve the efficiency of industrial product design and satisfy more customers to realize personalized design simultaneously." @default.
- W4386956832 created "2023-09-23" @default.
- W4386956832 creator A5070075034 @default.
- W4386956832 date "2023-09-23" @default.
- W4386956832 modified "2023-09-28" @default.
- W4386956832 title "Analysis of the application of computer-aided design in industrial product design based on" @default.
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- W4386956832 doi "https://doi.org/10.2478/amns.2023.2.00361" @default.
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