A Modified Bat Algorithm for Solving Large-Scale Bound Constrained Global Optimization Problems

Table 3

Experimental results provided by the modified Bat algorithm for IEEE-CEC’2005 benchmark functions [51].

Function		Minimum	Maximum	Mean	St. dev.	Time/run (s)
F12	0					6.177942
	10					6.406563
	20					6.766525
	30					6.303731
	40					6.595028
F13	0					2.252407
	10					2.340792
	20					2.129807
	30					2.269008
	40					2.096401
F14	0					3.153805
	10					3.270247
	20					3.028066
	30					3.155276
	40					3.052878
F15	0					32.680917
	10					32.504363
	20					32.136422
	30					32.454858
	40					32.090621
F16	0					32.183581
	10					32.404209
	20					32.505249
	30					31.637511
	40					33.545575
F17	0					32.941267
	10					31.970876
	20					33.131067
	30					31.884657
	40					32.002564
F18	0					32.280959
	10					32.473126
	20					32.098703
	30					32.495687
	40					32.245067
F19	0					32.249585
	10					32.526338
	20					32.308435
	30					32.933979
	40					32.254910