An Analysis of the Optimal Multiobjective Inventory Clustering Decision with Small Quantity and Great Variety Inventory by Applying a DPSO

Table 7

The algorithms of the NLE values (mean/minimum/standard deviation).

#		DPSO	NSGA II	PAES	NSHS
1	0.12	36.28/16.38/7.86	40.39/21.24/9.92	39.26/20.21/9.25	38.01/19.21/8.21
2	0.13	33.21/14.21/6.32	26.21/17.11/8.49	35.09/16.38/8.34	34.29/15.34/7.34
3	0.14	31.29/15.31/2.69	35.36/19.08/4.89	34.28/18.93/4.21	30.98/17.32/3.23
4	0.15	30.62/13.29/1.08	34.29/16.21/4.67	33.29/15.21/3.45	32.49/12.27/2.11
5	0.16	28.39/12.38/2.38	35.66/18.34/5.48	34.39/16.39/5.46	33.24/14.58/3.21
6	0.17	27.28/11.26/1.02	31.27/15.62/3.29	26.38/14.98/3.28	28.98/13.26/2.65
7	0.18	26.33/12.36/3.69	32.16/11.73/6.88	31.29/15.11/6.78	29.34/14.21/4.01
8	0.19	25.36/10.98/1.12	28.39/14.21/4.02	27.28/9.29/3.01	23.72/11.29/2.32
9	0.20	24.39/11.27/2.21	27.29/10.66/4.09	26.34/14.12/3.98	25.38/12.38/1.6
10	0.21	22.18/9.86/1.31	28.34/13.23/3.98	27.12/12.31/3.09	26.35/11.11/0.98
11	0.22	21.62/12.39/3.21	24.38/14.81/4.97	23.43/14.18/4.01	20.37/13.89/3.34
12	0.23	20.34/10.12/1.69	23.42/17.98/4.32	19.36/16.26/3.59	21.39/13.12/3.46
13	0.24	19.38/9.87/1.89	22.31/12.36/5.01	21.31/11.36/4.98	20.98/8.98/4.23
14	0.25	18.21/8.68/3.68	21.36/14.52/5.43	20.39/12.31/5.02	17.87/10.23/4.98
15	0.26	16.24/9.32/1.01	20.98/11.5/4.09	19.36/10.93/3.09	17.21/9.87/2.48
16	0.27	15.19/8.01/1.82	18.16/13.6/3.98	17.38/12.18/3.08	16.39/9.96/2.36