Multi-Objective Reentrant Hybrid Flowshop Scheduling with Machines Turning on and off Control Strategy Using Improved Multi-Verse Optimizer Algorithm

Table 9

T-test of IMOMVO vs. MOMVO, MOPSO, MOALO, and NSGA-II for large-sized problems.

Test problems	Performance measures	p value of IMOMVO vs.
		MOMVO	MOPSO	MOALO	NSGA-II
Lproblem01-20	SP	0.091	0.001	0.256	0.734
	GD	0	0	0.014	0
	IGD	0.001	0	0	0
Lproblem02-20	SP	0.127	0.129	0.014	0.943
	GD	0.014	0	0	0.001
	IGD	0.028	0.037	0.005	0.021
Lproblem03-20	SP	0.072	0.799	0.043	0.690
	GD	0	0	0	0.002
	IGD	0.001	0	0	0
Lproblem04-20	SP	0.261	0.205	0.001	0.711
	GD	0.028	0	0	0.005
	IGD	0.002	0	0	0.001
Lproblem05-20	SP	0.665	0.725	0.928	0.878
	GD	0.004	0.039	0.002	0
	IGD	0.040	0.013	0	0.005
Lproblem06-20	SP	0.928	0.125	0.671	0.392
	GD	0.001	0.021	0	0
	IGD	0	0	0.001	0.002