The Effects of Using Chaotic Map on Improving the Performance of Multiobjective Evolutionary Algorithms

Table 5

Results of Gauss mutation.

	ZDT1		ZDT2		ZDT3		ZDT4		ZDT6
	c	i	c	i	c	i	c	i	c	i
Circle	−0.4886	−0.0170	1.9394	−0.3130	0.0971	−0.4370	185.6683	75.0688	2.8693	−0.5529
Cubic	−2.4674	−0.0589	−6.2676	−0.0630	−2.5351	−1.2051	49.1193	−448.985	−2.3071	5.7609
Sinusoidal	1.0277	6.0982	0.4343	9.4173	−0.0396	4.5810	−106.768	−525.536	5.84566	28.5351
Tent	3.5035	0.6784	5.9502	1.1086	1.8616	0.0623	−272.428	101.4576	15.0061	11.2005