Research Article

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

Table 7

The comparison results for the 10 algorithms for .


HSMean0.9980040.001642−1.031630.3978873.9−3.86278−3.294251.051415−0.99385−186.731
SD5.04e − 160.0017022.09e − 118.64e − 124.9295031.88e − 100.0511460.0788680.0047624.72e − 09

IHSMean0.9980040.000897−1.031630.397887253.6464−3.86278−3.294251.001683−0.99287−186.731
SD3.18e − 160.0002636.36e − 132.17e − 13408.39361.89e − 110.0511460.0091850.004371.99e − 10

GHSMean0.9980040.00106−1.031620.3979057.503757−3.86278−3.274441.041427−0.9932−186.73
SD9.98e − 100.0001751.63e − 053.54e − 0510.238829.71e − 070.0592420.0620660.0045320.001356

SAHSMean0.9980040.007824−1.031270.398256766.1257−3.73393−3.314031.450669−0.99034−186.708
SD9.81e − 070.0118610.0004730.0007262342.8090.293010.0601570.3366520.0059870.038899

IGHSMean0.9980040.000817−1.031630.796779.300002−3.81125−3.282361.216004−0.99028−186.731
SD2.86e − 168.04e − 054.91e − 160.90717711.614940.1961210.0570050.2429044.52e − 162.18e − 14

NDHSMean0.9980040.000816−1.031630.39788712.9−3.86278−3.27841.00011−0.99487−186.731
SD7.86e − 160.0003753.37e − 115.89e − 1113.233583.16e − 120.0582730.0004360.0077232.79e − 09

ITHSMean0.9980040.002268−1.031340.3983011140.022−3.86277−3.282331.098494−0.99066−186.693
SD2.99e − 060.0018730.0007610.00053521.815831.9e − 050.0570280.1452110.0062420.073549

EHSMean0.9980040.000871−1.031620.3979183.001621−3.86278−3.294251.008312−0.99255−186.705
SD1.73e − 073.56e − 051.47e − 059.55e − 050.0084594.54e − 130.0511460.0308370.0041760.082658

SGHSMean0.9980170.001167−1.031630.6372173−3.78518−3.266511.000023−0.99001−186.731
SD7.38e − 050.0007541.35e − 120.7302635.21e − 110.2357730.0603289.55e − 050.0057031.92e − 10

OLPDHSMean0.9980040.000869−1.031630.3978873.000001−3.86278−3.282361.0000−1−186.731
SD5.59e − 113.44e − 051.66e − 086.8e − 071.89e − 068.99e − 070.0500050.00036406.12e − 05