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Table 4 Mean error, standard deviation and median error of a standard type PSO, CPSO, and OPSO implementation. Particle swarms with 20 particles, 1,000 epochs. Best performance (i.e., lowest error) for each function is highlighted in bold letters.

From: Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training

 

Schaffer F6 D = 2

Griewangk D = 30

Rastrigin D = 30

Rosenbrock D = 30

Sphere D = 30

standard type PSO

mean error

0.0042

0.827

99.5

91.5

4.14

standard deviation

0.0048

0.361

27.0

47.2

6.56

median error

0

0.914

98.2

85.1

1.89

CPSO

mean error

0.0048

0.148

86.2

32.2

0.0035

standard deviation

0.0049

0.616

23.0

19.8

0.070

median error

3.89·10-7

0.039

84.6

24.6

3.2·10-8

PSO with optimized parameters

mean error

0.0030

0.024

46.5

37.4

6.17·10 -8

standard deviation

0.0045

0.040

13.1

24.2

5.53·10-7

Median error

1.91·10-8

0.015

44.8

25.8

1.02·10 -9