Research Article

An Investigation into the Performance of Particle Swarm Optimization with Various Chaotic Maps

Table 6

Average ranking of the performance of LDIW-PSO relative to the various chaotic maps.

Chaos mapsProblem dimension = 30Problem dimension = 50
Mean fitnessStandard deviationSuccess rateFunction evaluationAverage performanceMean fitnessStandard deviationSuccess rateFunction evaluationAverage performance

None8.67.23.6117.608.46.83.810.27.30
Logistic5.66.82.26.85.356.45.43.875.65
Tent5.45.42.68.25.405.46.435.65.10
Skew Tent6.85.82.25.45.0554.645.84.85
Sine4.87.22.275.308.292.676.70
ICMIC5.85.42.46.24.958.49.247.27.20
Circle5.86.232.44.354.84.42.43.83.85
Piecewise5.45.837.25.354.65.22.44.24.10
Gaussian65.62.83.24.403.64.22.63.23.40
Intermittency5.44.62.613.405.45.83.63.24.50
Cubic6.462.27.65.555.653.47.65.40

The values in bold are the best results obtained by the algorithms using the corresponding chaotic map incorporated into it compared with others.