Research Article

Improved Monarch Butterfly Optimization Algorithm Based on Opposition-Based Learning and Random Local Perturbation

Table 11

The comparison of the clustering optimizations on the four different optimization algorithms.

Data setAlgorithmBestWorstMeanStd

IrisPSO80.576153.232116.12822.435
FA81.176152.347106.47619.547
CS80.647152.348100.4517.623
OPMBO142.8859199.5001184.828414.7271

WinePSO165296511729203617019639185396
FA166951821796396816962938172644
CS162092331732565616940862262499
OPMBO1.6856e+042.0190e+041.8219e+04913.9988

GlassPSO687.3471140.445882.098115.025
FA1023.5331110.6981079.93122.597
CS729.6581095.603957.90181.275
OPMBO612.3864688.3899653.439221.1229