Research Article

The Opposition-Based Learning Parameter Adjusting Harmony Search Algorithm Research on Radars Optimal Deployment

Table 3

Effects of PAR for nine functions.

PARIndex

0.1Mean7.95E − 901.47E − 53685.9444−12362.6100.0098340.0070879.79E − 2621203.98
SD4.10E − 897.88E − 53514.0564128.077600.0025420.0198282.14E − 258072.987

0.2Mean9.07E − 1642.11E − 1050.081219−9558.0700.0070030.0599116.89E − 551181.798
SD08.81E − 1050.424569466.202200.0007380.0445217.86E − 552165.254

0.3Mean1.49E − 1821.41E − 1190.002346−7993.0200.0029690.0726923.49E − 62778.9879
SD03.19E − 1190.012179450.3963000.0417115.11E − 621489.989

0.4Mean1.19E − 1883.19E − 1241.13E − 05−6934.18000.0825012.01E − 65369.9853
SD01.69E − 1232.86E − 05480.184300.0002390.0308994.16E − 65508.6783

0.5Mean3.01E − 1927.09E − 1271.62E − 05−6077.3200.001320.1066827.54E − 66390.7553
SD02.79E − 1265.19E − 05437.4263000.048913.13E − 65665.9627

0.6Mean2.19E − 1911.19E − 1280.000422−5464.39000.1151016.79E − 66896.9894
SD03.29E − 1280.001729328.2752000.0422011.49E − 651309.987

0.7Mean2.29E − 1894.89E − 1274.05E − 05−4854.595.92E − 1700.1207313.16E − 65401.8195
SD01.49E − 1269.65E − 05419.43523.24E − 160.0011310.0342151.12E − 64674.5876

0.8Mean1.09E − 1844.49E − 1220.00304−4374.65100.0061760.1481678.87E − 641071.784
SD02.38E − 1210.01553254.983700.0021290.0434262.23E − 631330.932

0.9Mean1.2E − 1755.1E − 1180.05822−3583.871.676680.0116790.1710087.69E − 61833.0023
SD01.4E − 1170.261072306.37365.1337470.0098410.0467122.67E − 601154.953

1Mean6.7E − 1713.8E − 1190.004582−3597.400.0025370.1678391.8E − 60782.5468
SD07.8E − 1190.013117327.293600.0070120.0356592.55E − 601028.296