Research Article

Dynamic Neighborhood-Based Particle Swarm Optimization for Multimodal Problems

Table 5

Peak ratios (PRs) achieved from the compared algorithms.

PRDNPSOLIPSEMO-MMOR2PSOR3PSONCDENSDEVNCDE

F1Mean1.001.001.001.001.001.000.991.00
Std0.000.000.000.000.000.000.000.00
Test\=======

F2Mean1.001.001.001.001.001.001.001.00
Std0.000.000.000.000.000.000.000.00
Test\=======

F3Mean1.001.001.001.001.001.001.001.00
Std0.000.000.000.000.000.000.000.00
Test\=======

F4 (2D)Mean1.000.751.000.530.690.140.270.96
Std0.000.220.000.110.050.010.020.01
Test\+=++++=

F4 (3D)Mean0.690.490.800.320.280.680.130.74
Std0.140.030.230.100.020.040.010.13
Test\+=++=+=

F5Mean1.000.201.000.010.160.500.060.55
Std0.000.050.000.000.010.010.040.05
Test\+=+++++

F6Mean1.000.841.000.880.871.000.401.00
Std0.000.130.000.010.110.000.010.00
Test\+====+=

F7 (5D)Mean0.700.410.600.140.130.260.350.70
Std0.010.010.100.010.010.020.020.02
Test\+=++++=

F7 (10D)Mean0.540.200.660.060.370.630.520.66
Std0.000.000.010.090.000.010.020.00
Test\++ =  = 

F8 (5D)Mean0.380.090.190.000.020.100.110.37
Std0.010.090.040.000.000.020.120.11
Test\++++++=

F8 (10D)Mean0.160.060.120.000.050.240.120.29
Std0.100.020.080.000.100.210.150.33
Test\+=++= = 

Win/tie/lose\8/3/01/9/17/4/06/4/14/7/06/5/01/8/2
Rank2.815.182.866.275.904.325.952.68