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 evaluationsFunction evaluationsFunction evaluations
Optimization Strategy

Static GSO 0.9991.0000.9821.000 1.0001.000
(0.000)(0.000)(0.122)(0.000)(0.000)(0.000)
Dynamical GSO(see (1)) 0.998 1.0000.9901.0000.7430.832
(0.001)(0.000)(0.087)(0.000)(0.402)(0.345)
Self-Adaptive GSO(see (2), (3))0.9890.9990.9890.9990.7320.838
(0.081)(0.001)(0.087)(0.001)(0.408)(0.337)
GA 0.9770.9880.9550.9960.5050.776
(0.139)(0.091)(0.169)(0.003)(0.412) (0.339)
PSO 0.8840.961 0.4150.5100.0200.026
(0.301)(0.184)(0.445)(0.459)(0.053)(0.057)