Modified Atom Search Optimization Based on Immunologic Mechanism and Reinforcement Learning

Algorithm 2

Pseudocode of the modified atom search optimization based on the immunologic mechanism and reinforcement learning.

(1)	Chaotic initialize a set of atoms X (solutions) and randomly initialize their velocity , evaluate the fitness values by using the objective function, and then calculate and . Determine the parameters.
(2)	While the stop criterion is not satisfied do
(3)	For each atom do
(4)	Calculate the massing using equations (2) and (3);
(5)	Determine its K neighbors using equation (4);
(6)	Calculate the interaction force and the constraint force using equations (11) and (12), respectively;
(7)	Calculate the acceleration using equation (14);
(8)	Update the velocity using equation (15);
(9)	Update the position using equation (16);
(10)	Check out, update the fitness values;
(11)	Invoke the reinforcement learning operator by equations (20) and (21);
(12)	Invoke the vaccination operator by equations (17) and (18);
(13)	Invoke the immune detection operator by equation (19);
(14)	End For.
(15)	End While
(16)	Find the best solution so far