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

Table 8

The comparison between the multiobjective solvers.

#		Indicator	DPSO	NSGA II	PAES	NSHS
1	0.12	SSM	0.682	0.703	0.701	0.693
		RNI	0.987	0.871	0.862	0.899
		OO	0.012	0.042	0.029	0.011
2	0.13	SSM	0.589	0.642	0.638	0.623
		RNI	0.962	0.893	0.908	0.912
		OO	0.016	0.033	0.022	0.029
3	0.14	SSM	0.732	0.792	0.758	0.731
		RNI	0.891	0.811	0.832	0.814
		OO	0.023	0.036	0.029	0.031
4	0.15	SSM	0.693	0.736	0.713	0.702
		RNI	0.913	0.872	0.899	0.909
		OO	0.024	0.052	0.022	0.041
5	0.16	SSM	0.701	0.762	0.788	0.789
		RNI	0.983	0.892	0.909	0.912
		OO	0.019	0.026	0.032	0.029
6	0.17	SSM	0.823	0.829	0.836	0.813
		RNI	0.966	0.959	0.96	0.961
		OO	0.018	0.029	0.024	0.016
7	0.18	SSM	0.712	0.748	0.721	0.736
		RNI	0.873	0.765	0.893	0.812
		OO	0.036	0.048	0.046	0.041
8	0.19	SSM	0.612	0.62	0.619	0.623
		RNI	0.861	0.812	0.822	0.834
		OO	0.015	0.031	0.022	0.019
9	0.20	SSM	0.514	0.521	0.534	0.526
		RNI	0.985	0.952	0.961	0.965
		OO	0.019	0.038	0.028	0.026
10	0.21	SSM	0.598	0.616	0.609	0.591
		RNI	0.988	0.955	0.963	0.979
		OO	0.026	0.043	0.023	0.032
11	0.22	SSM	0.612	0.618	0.622	0.621
		RNI	0.892	0.693	0.765	0.795
		OO	0.016	0.041	0.033	0.032
12	0.23	SSM	0.636	0.642	0.661	0.658
		RNI	0.791	0.723	0.764	0.754
		OO	0.017	0.031	0.022	0.021
13	0.24	SSM	0.701	0.802	0.711	0.737
		RNI	0.898	0.812	0.834	0.876
		OO	0.019	0.032	0.028	0.026
14	0.25	SSM	0.765	0.798	0.769	0.713
		RNI	0.911	0.812	0.936	0.856
		OO	0.021	0.036	0.032	0.028
15	0.26	SSM	0.512	0.522	0.548	0.506
		RNI	0.928	0.896	0.903	0.912
		OO	0.018	0.032	0.029	0.022
16	0.27	SSM	0.493	0.511	0.501	0.499
		RNI	0.916	0.886	0.922	0.909
		OO	0.023	0.038	0.036	0.034