Research Article

An Improved Method of Particle Swarm Optimization for Path Planning of Mobile Robot

Table 2

Optimization results of five functions.

FunctionPerformance indexPSORandWPSOTFPSONCFPSOIPSO

AckleyAverage value0.340.150.350.170.10
Best result00000
Standard deviation1.451.141.521.220.97
Running time (s)0.310.460.430.510.31

GriewankAverage value130.5619.3345.8098.198.00
Best result36.7312.7123.6215.931.10
Standard deviation9.95 × 1031.10 × 1037.35 × 1031.40 × 1041.01 × 103
Running time (s)0.330.460.500.610.40

RastriginAverage value179.7079.53175.7952.422647.54
Best result113.6261.48118.9747.5515934.09
Standard deviation3.64 × 1036.52 × 1023.62 × 1031.10 × 1032.21 × 102
Running time (s)0.250.340.370.260.24

RosenbrockAverage value2.77 × 1034.38 × 1024.11 × 1033.37 × 1028.91 × 10−1
Best result5.67 × 1027.95 × 1026.00 × 1022.22 × 1022.86 × 101
Standard deviation4.51 × 1062.52 × 1069.64 × 1064.73 × 1052.38 × 105
Running time (s)0.212.403.980.240.23

SphereAverage value2.70 × 10−12.10 × 10−21.20 × 10−22.65 × 10−25.8 × 10−3
Best result2.00 × 10−11.51 × 10−92.88 × 10−21.87 × 10−27.97 × 10−192
Standard deviation1.00 × 10−11.71 × 10−18.88 × 10−27.60 × 10−15.3 × 10−2
Running time (s)0.883.365.330.951.09