Evolutionary-Based Sparse Regression for the Experimental Identification of Duffing Oscillator

Algorithm 1

ESparse algorithm.

	Require: time-varying measurement data: , , and . Population size r, number of generations k, and probabilities of crossover and mutation.
(1)	Procedure:
(2)	Initialize the population of size r randomly
(3)	For  = 0: k do
(4)	Construct dictionary based on the individuals
(5)	Solve the regression problem:
(6)	Compute the fitness function: mean square error
(7)	Generate new population using crossover and mutation
(8)	End for
(9)	End procedure