Survival Risk Prediction of Esophageal Squamous Cell Carcinoma Based on BES-LSSVM
Algorithm 2
Framework of BES.
Input:: the maximum iterations : the number of bald eagles Randomly initialize the position of the bald eagle population and define relevant parameters.
Output:,
(1)
(2)
The fitness values are ranked. The current best individual and the current worst individual are found.
(3)
(4)
(5)
The position of the bald eagle is updated by equation (4);
(6)
(7)
The position of the bald eagle is updated by equation (6);
(8)
(9)
The position of the bald eagle is updated by equation (8);
(10)
(11)
The new current position is obtained;
(12)
The position is updated when the new position is better than the previous one;
