Control Design of the Wave Compensation System Based on the Genetic PID Algorithm

Table 1

The parameters of the genetic particle swarm optimization algorithm.

Parameters	Numerical value
Population size N	60
Acceleration factor C1	1.4962
Acceleration factor C2	1.4962
Inertia weight ω	0.7298
Iteration number MaxDT	200
Individual length L	30
The searching space dimension D	10
The cross probability Pc	0.8
The mutation probability Pm	0.1−[1 : 1 : N]  (0.01)/N
Kp	[0, 100]
Ki	[0, 1]
Kd	[0, 100]
ω1	0.98
ω2	0.002
ω3	1.5
ω4	100