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

被引:2
作者
Kong, Yueguang [1 ]
机构
[1] Xiamen Inst Technol, Sch Arts & Commun, Xiamen 361021, Fujian, Peoples R China
关键词
IGA; interactive; medical device; morphological design; optimization; semantic gene;
D O I
10.3233/JCM-226920
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页码:2563 / 2577
页数:15
相关论文
共 50 条
[21]   Cloud Based Ccmc Model for Application of Genetic Algorithm Based on Cloud Computing in Art Product Design [J].
Ouyang, An .
JOURNAL OF ELECTRICAL SYSTEMS, 2024, 20 (03) :1670-1680
[22]   Supporting medical device development: a standard product design process model [J].
Medina, Lourdes A. ;
Kremer, Guel E. Okudan ;
Wysk, Richard A. .
JOURNAL OF ENGINEERING DESIGN, 2013, 24 (02) :83-119
[23]   Interactive Genetic Algorithm with Implicit Uncertainty Evaluation for Application in Personalized Search [J].
Sun, Xiaoyan ;
Chen, Yang ;
Bao, Lin ;
Xu, Ruidong .
2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), 2017, :3050-3057
[24]   Application of genetic algorithm for optimization of NQR signal detection [J].
Oproescu, Mihai ;
Iana, Gabriel, V ;
Monea, Cristian .
PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTERS AND ARTIFICIAL INTELLIGENCE (ECAI-2019), 2019,
[25]   Application of Genetic Algorithm to The Position Optimization of The Outriggers for Trimaran [J].
Chen, Shunhuai ;
Cui, Lianqiong .
JOURNAL OF ALGORITHMS & COMPUTATIONAL TECHNOLOGY, 2009, 3 (04) :535-551
[26]   Application of genetic algorithm in optimization of advanced photovoltaic devices [J].
Michael, Sherif .
PROCEEDINGS OF THE 11TH WSEAS INTERNATIONAL CONFERENCE ON CIRCUITS, VOL 1: CIRCUITS THEORY AND APPLICATIONS, 2007, :1-+
[27]   Application of Genetic Algorithm for optimization of Solar Powered Drying [J].
Rahman, M. M. ;
Billah, A. G. M. Mustayen ;
Mekhilef, Saad ;
Rahman, Saidur .
2014 IEEE INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT ASIA), 2014, :647-651
[28]   A parallel computing application of the genetic algorithm for lubrication optimization [J].
Nenzi Wang .
Tribology Letters, 2005, 18 :105-112
[29]   The application of a genetic algorithm to the optimization of a mesoscale meteorological mode [J].
Werth, David ;
O'Steen, Lance .
INT CONF ON CYBERNETICS AND INFORMATION TECHNOLOGIES, SYSTEMS AND APPLICATIONS/INT CONF ON COMPUTING, COMMUNICATIONS AND CONTROL TECHNOLOGIES, VOL II, 2007, :124-+
[30]   Genetic Algorithm and Its Application to Absorbing Coating Optimization [J].
Ni Weili Zeng Lin (School of Communication and Information Engineering) .
JournalofShanghaiUniversity, 1998, (01) :57-61