A Hybrid Predictive Strategy Carried through Simultaneously from Decision Space and Objective Space for Evolutionary Dynamic Multiobjective Optimization

Table 6

Mean and Standard Deviation of MIGD values of CPS and IPS. The values in bold face denote having the better effect in these two strategies.

Problems	Strategy	Total	1st stage	2nd stage	3rd stage
FDA2	CPS	0.0087(0.00138)	0.0165(0.00138)	0.0073(0.00180)	0.0063(0.00120)
	IPS	0.0087(0.00064)	0.0187(0.00228)	0.0068(0.00133)	0.0058(0.00048)
FDA4	CPS	0.1521(0.00348)	0.1679(0.00649)	0.1489(0.00323)	0.1479(0.00513)
	IPS	0.1530(0.00408)	0.1797(0.00843)	0.1468(0.00648)	0.1467(0.00477)
dMOP3	CPS	0.1551(0.01011)	0.2850(0.03400)	0.1210(0.02425)	0.1275(0.01648)
	IPS	0.1349(0.01312)	0.2160(0.04473)	0.1074(0.01234)	0.1239(0.02219)
F5	CPS	0.5321(0.07584)	0.6463(0.24566)	0.5106(0.11876)	0.4995(0.10182)
	IPS	0.6699(0.21041)	0.7706(0.29603)	0.7780(0.41179)	0.5141(0.08521)
F10	CPS	2.1766(0.21428)	1.6762(0.30120)	2.4446(0.16529)	2.1462(0.31530)
	IPS	1.9126(0.16360)	1.4834(0.31371)	2.0169(0.43282)	2.0120(0.45767)