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AICup/run.py
2019-10-31 19:05:53 +01:00

42 lines
1.3 KiB
Python

from src import *
import pandas as pd
from time import time as t
def run(show_plots=False):
# names = [name_ for name_ in os.listdir("./problems") if "tsp" in name_]
names = ["eil76.tsp"]
methods = ["random", "nearest_neighbors", "best_nn"]
results = []
index = []
for name in names:
print("\n\n#############################")
filename = f"problems/{name}"
instance = Instance(filename)
instance.print_info()
if show_plots:
instance.plot_data()
for method in methods:
solver = Solver_TSP(method)
start = t()
solver(instance, return_value=False)
end = t()
print(f"the total length for the solution found is {solver.found_length}",
f"while the optimal length is {instance.best_sol}",
f"the gap is {solver.gap} %", sep="\n")
index.append((name, method))
results.append([solver.found_length, instance.best_sol, solver.gap, end - start])
if show_plots:
solver.plot_solution()
index = pd.MultiIndex.from_tuples(index, names=['problem', 'method'])
return pd.DataFrame(results, index=index, columns=["tour length", "optimal solution", "gap", "time to solve"])
if __name__ == '__main__':
run(show_plots=True).to_csv("./results.csv")