Research Article

Advanced Harmony Search with Ant Colony Optimization for Solving the Traveling Salesman Problem

Table 2

Results of our algorithm (AHS-ACO) for 20 TSP instances from the TSPLIB.

TSPLIBKnown best solutionsSolutionRunning TimeRelative error (%)
BestWorstMeanSTDEVSecond (s)Best

berlin5275427542754275420.00015.120.000
st70675675677675.3750.81219.450.000
eil76538538542540.4941.47322.270.000
kroA10021282212822137821307.55434.98340.970.000
kroB100*22141 2227122193.11453.67842.87āˆ’0.009
kroC1002074920749208682077034.93739.620.000
kroD10021294212942146721338.0363.79741.240.000
kroE10022068220682211722093.09914.81942.380.000
eil101629629643634.3554.47949.470.000
lin10514379143791454114434.94759.09756.270.000
ch1306110611062006173.03824.54469.240.000
pr144*58537 5890258659.283144.80780.27āˆ’0.003
ch1506528652865866554.58917.30397.340.000
pr15273682736827475473846.437325.185111.590.000
d19815780157801596315876.89270.497180.270.000
tsp225391938594013.7243977.04726.516208.480.000
pr22680369803698088280558.519174.915213.780.000
pr26449135491354937949205.8775.675279.690.000
a2802579257927262641.6144.91303.360.000
pr29948191481954998949121.289577.831367.720.016