An Effective Hybrid of Bees Algorithm and Differential Evolution Algorithm in Data Clustering

Table 5

The results of implementing the algorithms over CMC test data for 100 runs.

Method	Result			CPU time (S)
	Best	Average	Worst
PSO-ACO-K	5,694.28	5,694.28	5,694.28	~31
PSO-ACO	5,694.51	5,694.92	5,697.42	~135
PSO	5,700.98	5,820.96	5,923.24	~131
SA	5,849.03	5,893.48	5,966.94	~150
TS	5,885.06	5,993.59	5,999.80	~155
GA	5,705,63	5,756.59	5,812.64	~160
ACO	5,701.92	5,819.13	5,912.43	~127
HBMO	5,699.26	5,713.98	5,725.35	~123
PSO_SA	5,696.05	5,698.69	5,701.81	~73
ACO-SA	5,696.60	5,698.26	5,700.26	~89
-Means	5,842.20	5,893.60	5,934.43	0.5
MY proposed ALG.	5,532.22	5,532.45	5,532.85	~57