Review on the medical application of swarm intelligence optimization algorithms
10.3969/j.issn.1005-202X.2024.05.017
- VernacularTitle:群体智能优化算法在医疗领域的应用
- Author:
Yinwei CHEN
1
;
Anqi WANG
;
Fengsen LI
Author Information
1. 甘肃中医药大学信息工程学院,甘肃兰州 730000
- Keywords:
swarm intelligence optimization algorithm;
mathematical model;
improvement strategy;
applied research;
review
- From:
Chinese Journal of Medical Physics
2024;41(5):646-656
- CountryChina
- Language:Chinese
-
Abstract:
In order to cope with the limitations of traditional algorithms,intelligent optimization algorithms have emerged,in which swarm intelligence algorithms have become the research focus.Herein gray wolf optimization algorithm,ant-lion optimization algorithm,sparrow search algorithm,dragonfly optimization algorithm,whale optimization algorithm,and grasshopper optimization algorithm are summarized in terms of mathematical models,improvement strategies and medical applications.Through in-depth literature comparison horizontally and vertically,it is found that the improved optimization algorithms are most widely used in the medicine,and the advantages of optimization algorithms are found to be beneficial to their subsequent medical applications.
