The application of interactive genetic algorithm in the optimization of medical device product form design

Article type: Research Article

Authors: Kong, Yueguang

Affiliations: School of Arts & Communication, Xiamen Institute of Technology, Xiamen, Fujian 361021, China | E-mail: [email protected]

Correspondence: [*] School of Arts & Communication, Xiamen Institute of Technology, Xiamen, Fujian 361021, China. E-mail: [email protected].

Abstract: In order to solve the problem of low efficiency in the form design of medical device products and the inability to meet the needs of users, the research took the gastrointestinal machine of medical device as the research object, extracted the form design genes and semantic genes of medical device products, and constructed the form optimization design model of medical device products based on IGA algorithm. The research took the researcher and user data of the medical device design department as the main data, through crossover, mutation. The satisfactory solution is obtained by genetic process such as selection. Satisfactory solutions were obtained through genetic processes such as crossover, mutation and selection. The 12th generation project with the code of 000011 010001 100000 met the optimal solution, and the consensus satisfaction was 0.829. The research and design model can efficiently and automatically provide solutions for the design optimization of medical devices. It is recommended that the design department send out the best solution of the model, and optimize the solution in more detail again to improve the efficiency and accuracy of function realization.

Keywords: IGA, interactive, medical device, morphological design, optimization, semantic gene

DOI: 10.3233/JCM-226920

Journal: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 5, pp. 2563-2577, 2023