From: Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Optimized parameters
Schaffer D = 2
Griewangk D = 30
Rastrigin D = 30
Rosenbrock D = 30
Sphere D = 30
w start
-0.19
0.68
0.76
0.08
0.147
w end
1.57
0.18
0.85
0.63
0.070
n 1
0.66
1.87
1.89
1.20
0.984
n 2
0.48
2.21
0.40
2.57
2.71