Mathematical Problems in Engineering

Research Article

Multiobjective RFID Network Optimization Using Multiobjective Evolutionary and Swarm Intelligence Approaches

Table 4

The best compromise solutions for each three-objective combination from the Pareto front based on different multiobjective algorithms.


--: tag coverage-reader interference-load balance			--: tag coverage-reader interference-economic efficiency			--: tag coverage-load balance-economic efficiency			--: reader interference-load balance-economic efficiency
MOABC	MOPSO	NSGA-II	MOABC	MOPSO	NSGA-II	MOABC	MOPSO	NSGA-II	MOABC	MOPSO	NSGA-II

30.0000	15.6458	20.3190	14.4420	11.8283	8.4442	26.8131	17.8148	17.5537	25.8946	22.6339	27.2339
16.9790	14.3781	12.5002	0	18.3440	20.7029	16.5430	14.6978	17.6758	16.4923	16.1318	13.4871
11.6783	16.2336	18.2667	7.0450	17.0533	23.4947	12.0077	13.8891	7.9142	29.9279	14.4756	3.6646
6.8240	10.2314	12.2365	24.7556	15.0016	17.5124	11.8382	7.9821	22.1609	18.4677	17.6092	19.5012
25.4676	18.2227	24.0731	26.9491	7.3295	7.7721	28.9775	16.5915	4.3063	17.5268	14.9108	21.3461
14.1602	6.5977	19.6585	18.6439	16.4109	21.3357	18.2038	15.0106	5.9032	17.6167	14.0875	14.3025
5.9639	11.0810	14.0721	17.3119	16.4662	22.9025	8.1405	13.4403	12.2387	28.0962	13.8269	15.3770
13.4280	23.6013	13.4354	18.3675	17.3788	16.5265	21.7743	23.5938	12.0325	16.4211	14.1824	25.2919
15.2744	14.6464	15.1293	12.4728	17.1886	8.2734	2.8157	22.4016	25.1392	12.6584	14.6806	12.7989
17.3405	10.8091	6.9810	11.0377	17.4837	17.5023	11.3618	14.1959	12.8338	11.7092	15.0255	22.7917
20.2859	14.0696	13.3128	6.9209	17.6499	28.3456	27.2172	3.7468	14.6130	14.7326	13.2400	27.0443
11.6031	9.2959	19.4163	20.6577	16.9948	18.6085	16.6506	12.6232	2.5993	2.6127	17.7407	19.0955
28.1739	21.6110	22.2639	4.3360	10.6829	25.4949	28.7175	14.7962	26.1424	29.9136	13.6599	12.9675
29.6683	11.5423	9.9485	13.6199	16.8479	13.6055	16.1278	2.1734	15.7406	15.3185	6.6932	12.9054
20.9052	16.7326	10.6803	2.3055	15.4599	5.3180	17.7040	28.6417	26.2886	3.0762	15.0238	25.6991
13.2269	11.8862	8.8565	10.7391	6.5395	27.2699	17.7577	18.8571	17.2283	12.6195	13.8859	13.8272
2.5844	17.4557	5.6418	9.9599	25.5618	12.3296	15.5689	9.0791	2.5127	7.9611	14.8855	23.1240
30.0000	9.2592	29.6541	19.3121	16.3300	21.1540	2.6437	21.8757	13.5274	22.2376	15.1088	5.5600
6.9912	9.7717	26.9739	18.6074	12.3257	24.2924	3.5366	26.2076	27.2014	27.3023	12.2537	13.2477
22.8135	12.3124	14.5397	15.6450	11.8818	10.9631	13.8447	16.4889	16.0260	18.4885	11.5432	6.3683
28.5994	10.2497	24.3570	29.3637	19.6143	9.7765	0	10.7962	5.3177	0	16.9192	9.1608
29.9048	14.8504	20.5618	28.9276	17.3447	11.2273	29.8120	12.8104	4.5570	29.4346	16.1668	8.1942
29.3810	15.5604	5.5342	28.4916	17.7065	22.6933	0.1976	18.7327	21.5341	20.5107	20.0453	19.8892
29.7105	18.3519	29.8482	29.9584	18.1298	0	30.0000	0	23.8859	0.2752	18.0065	10.7492
29.9965	12.0862	27.3747	30.0000	16.6680	6.0234	3.5911	0	29.4297	3.2871	21.4912	0
0	16.6213	7.2695	28.5306	19.4510	4.3180	0	7.3890	16.9454	27.9123	17.7692	20.0606
0	20.5853	0	29.1589	16.6647	22.7788	8.9367	17.8957	20.7766	0	12.4918	12.6108
30.0000	23.1314	12.8241	27.0217	21.8865	15.0980	26.6633	22.7678	25.9616	6.2084	17.1475	17.9766
0	15.1540	28.5495	30.0000	20.8408	28.6249	7.7588	20.7964	10.3521	28.7588	13.4188	28.7101
29.8938	16.5469	20.3087	29.1991	20.2684	16.3864	30.0000	14.7074	0.1723	29.5780	18.0411	23.8331
0.4300	0.2413	0.0400	0.2827	0.3225	0.1291	0.0281	0.0926	0.4132	0.3735	0.3489	0.0803
0.4583	0.5458	06788	0.6043	0.5522	0.7583	0	0	0.0698	0.3212	0.5562	0.6562
0	0	0	0.0627	0.2661	0.4006	0.0287	0.1211	0.0019	0.0082	0.3079	0.3542