Arithmetic Optimization with RetinaNet Model for Motor Imagery Classification on Brain Computer Interface

Algorithm 1

Pseudocode of AOA.

	Input: the parameter of AOA includes overall quantity of iterations , dynamic exploitation variable (), and number of agent (N).
	Generate the primary value for the agent , while do
	Calculate the fitness function for all the agents.
	Define the optimal agent
	Upgrade the and using equations (11) and (13),
	for to do
	for to do
	Upgrade the values of , and
	if then
	Exploration stage
	Employ equation (12) to upgrade the
	else
	Exploitation stage
	Employ equations (14) to upgrade the
	end if
	end for
	end for
	end while
	Display the optimal agent .