Research Article

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

Table 10

The comparison results of clustering optimization on the three different MBO algorithms.

DatasetValueMBOGCMBOOPMBO

Mydatamean1.81591.76441.5715
std0.17400.17100.1382

Abalonemean1.84871.84301.6846
std0.12590.11350.0904

Balance Scalemean2.36132.36472.3250
std0.02370.02380.0147

Carmean2.04652.04782.0125
std0.02270.02140.0193

Heartmean52.697353.039448.2396
std3.59663.59503.3478

Liver Disordersmean46.168044.472239.9735
std5.01874.23703.5294

Soy beanmean3.58253.60823.3619
std0.08520.08910.0715

Statlogmean92.681392.375986.4422
std12.285312.212910.6546

Yeastmean0.38790.40060.3579
std0.03520.04020.0286

Zoomean2.38832.39862.3412
std0.07250.07160.0666