Structural Damage Identification Based on l₁Regularization and Bare Bones Particle Swarm Optimization with Double Jump Strategy

Algorithm 1

	Input parameters: number of Particles P, the jumping scaling factors and , the maximum stagnation number , and the dimension of the objective function .
	// random generation of a population of particles with position using uniform probability // distribution, where and are the lower and upper bound respectively,
	// And the initial stagnation number for each particle
	FOR each particle i
	END FOR
	// global best particle
	DO
	FOR each particle i
	IF
	IF THEN
	Update the position according to (16) // jump with small scaling factor
	ELSE
	Update the position according to (17) // jump with large scaling factor
	END IF
	ELSE
	Update the position according to (15)
	END IF
	IF THEN // update local best
	// reset after a jump
	ELSE
	// no improvement in fitness
	END IF
	IF THEN // update the global best
	FOR each variable j of particle i // limit position
	IF THEN
	IF THEN
	END FOR
	WHILE termination condition not met
	Output: