Research Article

Degree-Constrained -Minimum Spanning Tree Problem

Table 13

Numerical results obtained with Q-learning algorithm for random and Euclidean instances using .

#
BestTime (s)Time (s)#Iter

Input graphs with random uniform costs
1501052.220.61427.2652.229.03423590
220134.081.61794.00138.008.76406222.92
330240.301.081473.09245.622.25100792.21
450564.370.472567.98601.3715.38709226.55
510025123.712.951207.44123.714.7598900
650287.786.042440.56291.8998.122118911.42
775529.560.843473.78565.78487.9010678996.83
8100915.293.344975.561024.7730.106434511.96
920050184.294.042543.82199.27130.441226718.12
10100437.0830.845027.12476.04123.871181058.91
11150775.8918.537342.28843.6038.57365128.72
122001285.326.439799.771546.62227.2121410720.32

Input graphs with Euclidean distance costs
1Berlin5210279.230.512692.71279.2339.932003220
2201015.392.0912651.131020.02151.287743860.45
3302065.122.2316299.432070.6545.422283630.26
4526968.770.7330795.847234.2785.364339013.80
5gr962573.56621.64858.8074.5978.731994191.40
650168.53299.411774.49180.0589.152251946.83
775283.1496.282500.70303.35260.646483027.13
896474.9517.583352.78552.06191.6847743016.23
9ch150501753.83360018911.281711.33125.94186763−2.42
10802881.72360028695.922949.71202.883061202.35
111003627.93279.8837580.423953.79107.611606248.98
121506368.7943.7154468.427122.77565.4484402011.83