Table 8.

The obtained results for allocating approach (TP $=$ Test Problem, PT $=$ Processing Time).

Algorithm	TP	SP${}_1$	SP${}_2$	SP${}_3$	MP${}_4$	MP${}_5$	MP${}_6$	MP${}_7$	LP${}_8$	LP${}_9$	LP${}_{10}$
SA	Obj.	155	331	511	882	1147	1648	2659	3827	5189	6882
	PT	0.31	0.46	0.465	0.577	0.615	0.864	0.925	1.576	3.013	6.18
	RPD	0.00826	0.031651	0.04668	0.049662	0.05746	0.056484	0.058655	0.059451	0.061551	0.074511
PSO	Obj.	165	318	504	827	1071	1590	2647	3460	4973	6335
	PT	0.904	1.01	2.7	2.82	3.73	5.48	7.64	11.7	28.2	57.07
	RPD	0.018034	0.008323	0.025484	0.01156	0.017571	0.036485	0.015282	0.029846	0.020808	0.02386
SEO	Obj.	155	326	502	858	1072	1577	2652	3644	5071	6660
	PT	0.75	0.96	1.27	1.52	1.81	3.74	4.37	7.66	16.41	32.18
	RPD	0.00971	0.018034	0.024187	0.027564	0.028669	0.034414	0.036992	0.031212	0.0329	0.036599
SAPSO	Obj.	153	318	487	827	1040	1571	2638	3460	4873	6258
	PT	1.45	1.53	3.49	4.41	5.22	9.68	13.9	32.9	59.07	107.02
	RPD	0.002312	0.007398	0.002173	0.010543	0.008508	0.025016	0.013918	0.008184	0.010695	0.011283
SASEO	Obj.	151	310	490	815	1040	1483	2628	3425	4861	6234
	PT	1.5	2.129	3.61	7.11	8.04	13.66	26.153	41.74	93.2	146.46
	RPD	0.000925	0.000694	0.004624	0.00206	0.007225	0.005907	0.007364	0.00104	0.008901	0.007861
PSOSEO	Obj.	153	313	490	817	1040	1483	2605	3443	4816	6234
	PT	1.5	3.84	4.73	8.85	10.477	19.98	26.5	54.26	97.49	162.3
	RPD	0.001742	0.003235	0.005648	0.004944	0.005143	0.006173	0.006636	0.005599	0.005901	0.006565