Abstract

Info

Title:: Review on the medical application of swarm intelligence optimization algorithms

Author(s):: CHEN Yinwei1; WANG Anqi1; LI Fengsen2; 1. School of Information Engineering, Gansu University of Chinese Medicine, Lanzhou 730000, China 2. Finance Office, Gansu Provincial Hospital, Lanzhou 730000, China

Keywords:: Keywords: swarm intelligence optimization algorithm mathematical model improvement strategy applied research review

Abstract:: 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.