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

Table 1

Optimal result of three single-objective functions.

Test function	Algorithms	Parameters	Best optimal value	Average optimal value
Ackley	PSO		1.479929e − 05	1.453575e − 04
		Number of particles = 100
	BBPSO	Number of particles = 100	1.23836e − 09	3.824170e − 06
	BBPSODJ	, ,	4.590044e − 10	2.195117e − 09
		Number of particles = 100
	GA		0.0011292069	0.4989836612
		Number of population = 100
		Schwefel			PSO		2.5455132e − 05	2.5455132e − 05
Number of particles = 100
BBPSO	Number of particles = 100		2.5455132e − 05	2.5455132e − 05
BBPSODJ	, ,		2.5455132e − 05	2.5455132e − 05
	Number of particles = 100
GA			2.5455132e − 05	0.0147555699
	Number of population = 100
	Schaffer				PSO		0	2.899789e − 03
Number of particles = 100
BBPSO		Number of particles = 100	0	6.939936e − 03
BBPSODJ		, ,	0	8.243193e − 05
		Number of particles = 100
GA			0.00245585817	0.00245585817
		Number of population = 100

Note. and are the probabilities of crossover and mutation, respectively.