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

Table 4

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

Method	Result			CPU time (S)
	Best	Average	Worst
PSO-ACO-K	16,295.31	16,295.31	16,295.31	~30
PSO-ACO	16,295.34	16,295.92	16,297.93	~33
PSO	16,345.96	16,417.47	16,562.31	~123
SA	16,473.48	17,521.09	18,083.25	~129
TS	16,666.22	16,785.45	16,837.53	~140
GA	16,530.53	16,530.53	16,530.53	~170
ACO	16,530.53	16,530.53	16,530.53	~121
HBMO	16,357.28	16,357.28	16,357.28	~40
PSO_SA	16,295.86	16,296.00	16,296.10	~38
ACO-SA	16,298.62	16,310.28	16,322.43	~84
-Means	16,555.68	18,061.01	18,563.12	0.7
MY proposed ALG.	16,292.25	16,293.76	16,294.98	~30