An Effective Variable Transformation Strategy in Multitasking Evolutionary Algorithms

Table 5

Best fitness obtained by all MTDE-VT algorithms and the corresponding parameter setting.

Problem	Task	Best fitness	Serial number	Parameter setting
				μ (%)	φ	θ
CI + HS	T1	9.40955E-08	81	2	0.1_start	0.001
	T2	0.00012671	81	2	0.1_start	0.001
CI + MS	T1	0.00015683	81	2	0.1_start	0.001
	T2	1.61415E-05	81	2	0.1_start	0.001
CI + LS	T1	21.19195	83	20	0.1_start	0.001
	T2	12911.2421	95	50	0.8_stop	0.001
PI + HS	T1	0.00429625	81	2	0.1_start	0.001
	T2	0.000390295	76	2	0.2_start	0.001
PI + MS	T1	0.00464365	81	2	0.1_start	0.001
	T2	47.26245	81	2	0.1_start	0.001
PI + LS	T1	0.55135	93	20	0.8_stop	0.001
	T2	0.23614	65	50	0	0.01
NI + HS	T1	47.4788	76	2	0.2_start	0.001
	T2	0.000989625	81	2	0.1_start	0.001
NI + MS	T1	0.00023349	81	2	0.1_start	0.001
	T2	0.252	81	2	0.1_start	0.001
NI + LS	T1	375.68945	1	2	0.2_start	0.05
	T2	4153.8056	55	50	0.2_start	0.01