temp-rewards-weight.data

采用蚂蚁算法实现ad hoc网络路由协议,平台为ns2

#$val(broadcastReward)	exp(double($val(broadcastReward) / $val(temperature)))	SampleCount	$pdr(tot)/avg	$pdr(tot)/min	$pdr(tot)/max	$pdr(tot)/variance	$pdr(tot)/err(0.95)	
-20	4.53999297625e-05	3	0.829213666667	0.756615	0.887499	0.00443630899734	0.0904980444171	
-20	0.00673794699909	3	0.908315	0.871908	0.935724	0.001078843467	0.0446280096805	
-20	0.0356739933473	3	0.929649333333	0.903892	0.94682	0.000516001429335	0.0308641096296	
-20	0.0820849986239	3	0.927733666667	0.91845	0.933368	6.56249063335e-05	0.0110068398844	
-20	0.188875602838	2	0.8995195	0.891507	0.907532	0.0001284003125	0.0233966075898	
-20	0.28650479686	2	0.885619	0.872824	0.898414	0.00032742405	0.0373615718079	
-20	0.367879441171	2	0.8719755	0.864774	0.879177	0.0001037232045	0.0210284766999	


-12	4.53999297625e-05	3	0.805575333333	0.775639	0.826262	0.000704839282335	0.0360722598477	
-12	0.00673794699909	3	0.905643333333	0.883792	0.920878	0.000376678057334	0.0263702023036	
-12	0.0356739933473	3	0.930104333333	0.914606	0.942792	0.000204537534333	0.0194318795031	
-12	0.0820849986239	3	0.932063666667	0.91476	0.947571	0.000271560540334	0.0223903886803	
-12	0.188875602838	2	0.9055595	0.894387	0.916732	0.0002496495125	0.0326238500214	
-12	0.28650479686	2	0.8851235	0.879439	0.890808	6.46270805e-05	0.01659881633	
-12	0.367879441171	2	0.8714095	0.866221	0.876598	5.38410645e-05	0.0151504896698	


-8	4.53999297625e-05	3	0.831462	0.798238	0.895757	0.003101544121	0.0756688759095	
-8	0.00673794699909	3	0.911602333333	0.884033	0.936325	0.000689690949335	0.0356825237921	
-8	0.0356739933473	3	0.944436333333	0.927819	0.953378	0.000207502514334	0.0195722152038	
-8	0.0820849986239	3	0.921049333333	0.88869	0.951894	0.00100040706534	0.0429750782104	
-8	0.188875602838	2	0.903133	0.892936	0.91333	0.000207957618	0.0297753769227	
-8	0.28650479686	2	0.8837805	0.878151	0.88941	6.33825405e-05	0.0164382155915	
-8	0.367879441171	2	0.872934	0.870083	0.875785	1.6256402e-05	0.00832495828249	


-4	4.53999297625e-05	3	0.815430333333	0.796415	0.846162	0.000721645352335	0.0364997769151	
-4	0.00673794699909	3	0.883644666667	0.855891	0.906963	0.000666841432335	0.0350864628726	
-4	0.0356739933473	3	0.925633666667	0.907784	0.942051	0.000295095506334	0.0233404700882	
-4	0.0820849986239	3	0.923115666667	0.910574	0.933964	0.000138923558334	0.0160146056879	
-4	0.188875602838	3	0.911014	0.904181	0.916508	3.9333423e-05	0.00852136507564	
-4	0.28650479686	2	0.887422	0.885744	0.8891	5.631368e-06	0.00489978253175	
-4	0.367879441171	2	0.8746995	0.872913	0.876486	6.3831645e-06	0.00521660398866	


-2	4.53999297625e-05	3	0.84401	0.791228	0.87065	0.002089516644	0.0621085253741	
-2	0.00673794699909	3	0.877976333333	0.861262	0.906759	0.000626727754335	0.0340147876787	
-2	0.0356739933473	3	0.919900333333	0.902783	0.93181	0.000230981526334	0.0206498510808	
-2	0.0820849986239	3	0.914608666667	0.907822	0.92337	6.33595573335e-05	0.0108151953368	
-2	0.188875602838	3	0.903293	0.891519	0.911617	0.000109909276	0.0142444430798	
-2	0.28650479686	2	0.88719	0.88454	0.88984	1.4045e-05	0.00773803558351	
-2	0.367879441171	2	0.8707745	0.864953	0.876596	6.77797245e-05	0.0169988581696