Traveling Salesman Solver
If you want to know what it's all about, please take a look at the
information
document.
(Please be patient...)
Population size
Generations
Crossover probabilaty
(0.0000 <= x <= 1.0000)
Fixed Position
Fixed Position Sequential
Mutation probabilaty
(0.0000 <= x <= 1.0000)
Population deletion technique
Delete All, using
Elitism Value
Steady Delete
Fitness evaluation technique
Evaluation (ignores parameter below)
Windowing (needs guarding value below, 1.0000 <= x <= maximum fitness)
Linear Normalization (needs linear decrease value below, 0.0000 <= x <= 100.0000)
Parameter
Seed
(0 = random seed)
Use GNU-Plot
Wait for plot
in
seconds
Node Data
Umeå:0,0 Stockholm:-1,-5 Helsingfors:3,-4 Moskva:9,-9 London:-8,-12 Berlin:-2,-11 Prag:-1,-14 Nykvarn:-1.5,-5.5 St_Petersburg:5,-5 Edinburgh:-9,-8 Warszawa:3,-11 Kiev:7,-14 Paris:-7,-15 Wien:1,-17 Belgrad:3,-21 Rom:-3,-22 Sofia:4,-23 Madrid:-11,-24 Lissabon:-13,-26 Athen:4,-27
1 May 1995,
Thomas Pederson.