Table 1:
Results of the sinc function optimization for different problem dimensions and rules of variation for the
parameter during iterations: average final values over 100 independent trials and, in parentheses, their standard deviation
.
Dimension of the considered optimization problem
Function evaluations
Function evaluations
Function evaluations
Optimization Strategy
Static GSO
0.999
1.000
0.982
1.000
1.000
1.000
(0.000)
(0.000)
(0.122)
(0.000)
(0.000)
(0.000)
Dynamical GSO
(see (
1
))
0.998
1.000
0.990
1.000
0.743
0.832
(0.001)
(0.000)
(0.087)
(0.000)
(0.402)
(0.345)
Self-Adaptive GSO
(see (
2
), (
3
))
0.989
0.999
0.989
0.999
0.732
0.838
(0.081)
(0.001)
(0.087)
(0.001)
(0.408)
(0.337)
GA
0.977
0.988
0.955
0.996
0.505
0.776
(0.139)
(0.091)
(0.169)
(0.003)
(0.412)
(0.339)
PSO
0.884
0.961
0.415
0.510
0.020
0.026
(0.301)
(0.184)
(0.445)
(0.459)
(0.053)
(0.057)