Application of an Intelligent Hybrid Metaheuristic Algorithm for Multiobjective Redundancy Allocation Problem with Sustainable Maintenance

Table 3

The results of implementing test problems.

Test problem	Number of Pareto solutions	Average of the first objective	Average of the second objective
p1	47	4.63E − 08	7778
p2	50	1.90E − 07	10418
p3	43	4.44E − 07	11685
p4	47	4.00E − 08	7806
p5	50	1.53E − 07	10012
p6	50	4.35E − 07	11987
p7	50	3.68E − 08	7400
p8	50	1.17E − 07	9065
p9	47	3.98E − 07	11974
p10	49	0.01662008	8835
p11	48	0.03045951	9929
p12	49	0.072815946	13343
p13	49	0.013728675	8404
p14	48	0.037327078	11058
p15	48	0.063445359	12667
p16	48	0.010736866	7748
p17	47	0.026810576	9781
p18	50	0.053703995	12076
p19	50	0.226867023	8415
p20	50	0.355636589	10608
p21	48	0.476344384	13027
p22	49	0.199889028	7810
p23	49	0.323638156	9890
p24	49	0.449719356	12334
p25	50	0.212840018	8075
p26	50	0.315307874	9771
p27	45	0.42569378	11862
p28	45	4.10E − 13	7575
p29	47	1.71E − 12	10087
p30	50	4.54E − 12	12018
p31	50	3.73E − 13	7751
p32	48	1.35E − 12	9494
p33	45	4.38E − 12	12209
p34	49	3.63E − 13	7710
p35	45	1.20E − 12	9478
p36	49	3.00E − 12	10554
p37	50	0.00017731	8309
p38	47	0.000592272	10591
p39	50	0.001369745	12721
p40	50	0.000179898	8621
p41	46	0.000445769	9745
p42	46	0.001063624	11771
p43	46	0.000103981	7192
p44	50	0.000419827	9963
p45	49	0.001049651	11854
p46	48	0.03452181	8191
p47	47	0.081674209	10598
p48	47	0.152745337	13447
p49	47	0.031635127	7964
p50	50	0.060361023	9335
p51	50	0.133430003	12419
p52	47	0.031239782	7892
p53	47	0.065909873	9920
p54	45	0.130330611	12522
p55	50	3.64E − 18	7555
p56	49	1.37E − 17	9683
p57	46	4.26E − 17	12421
p58	49	3.18E − 18	7753
p59	48	1.18E − 17	9760
p60	46	3.71E − 17	12045
p61	47	3.12E − 18	7544
p62	50	8.92E − 18	9106
p63	47	2.76E − 17	11049
p64	47	1.13E − 06	7768
p65	50	3.99E − 06	9129
p66	50	1.37E − 05	12406
p67	50	1.32E − 06	8025
p68	45	3.78E − 06	9788
p69	50	1.11E − 05	12303
p70	49	9.25E − 07	7256
p71	47	3.75E − 06	9945
p72	46	9.68E − 06	11952
p73	50	0.002756355	7505
p74	47	0.009871848	10485
p75	49	0.021730016	13178
p76	50	0.002644596	7776
p77	48	0.007916174	9692
p78	47	0.01986529	12681
p79	50	0.002472504	7409
p80	50	0.00670114	9371
p81	50	0.017636415	12516