TABLE 1

Benchmark Results for Each Problem–Solver Combination

The RMS of the estimation error ε[X] is shown in meters in the left columns. The right columns show the RMS of the cost function value ρ[X] in m2.

IDLMCSGN-CSGN-CSG
BLS
N-CSG
TBLS
N-CLM
ε[X]ρ[X]ε[X]ρ[X]ε[X]ρ[X]ε[X]ρ[X]ε[X]ρ[X]ε[X]ρ[X]
GC1.281.050.383.760.322.010.351.980.361.970.382.02
GO1.141.090.363.720.282.020.312.000.322.000.342.07
GM1.471.010.553.930.452.020.481.970.471.940.472.00
LC1.881.021.1630.710.611.460.611.410.611.370.621.42
LO1.410.991.1630.210.611.370.621.340.621.310.631.42
LM1.920.921.1630.730.591.440.621.370.631.330.651.36
MC1.871.000.673.790.602.590.732.390.782.321.171.98
MO1.090.920.703.550.832.290.851.680.871.671.041.68
MM1.261.010.513.000.501.930.611.560.601.730.621.98
RC1.601.010.573.760.479.500.402.350.342.500.482.42
RM1.581.040.593.640.5312.420.402.400.332.560.492.47
  • Note: Values are rounded to two decimal places. The lowest estimation error and RMS of the cost function value achieved for each problem are shown in bold.